medical informatics phd programs germany

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Structured PhD Program in Health Data Sciences

The PhD Program in Health Data Sciences at the Charité is hosted in English and aimed at qualified young scientists interested in:

• deepening their methodological knowledge in the fields of biostatistics, epidemiology, public health, meta-research, population health science and medical informatics.
• further expanding their competence in research and teaching.

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• Academic Programs .
• PhD in Health Data Sciences

PhD Program in Health Data Sciences

Upon successful completion of the program, students will be awarded the academic degree of "Doctor of Philosophy" (PhD).

We are no longer accepting applications for entrance into our October 2024 cohort.

The deadline to submit applications for entrance into the October 2024 HDS PhD cohort was February 29, 2024 (23:59 CET).

The application window for our October 2025 HDS PhD Cohort will open in the beginning of 2025. Please check back in the autumn of 2024 for further details. 

• General Information
• Tuition fees

Application & Admission

Language requirements, program features.

• List of Universities

2740 Study programs

Study Medical & Health Informatics in Germany: 15 Universities with 14 English Degree Programs

All important info for international students in germany (2024/2025).

Medical & Health Informatics bridges healthcare and technology, focusing on the effective use of information to enhance patient care. The field dives into data analytics, electronic health records, and telemedicine, integrating disciplines like IT, medicine, and management. Students gain proficiency in health data management, system design, and patient information security. By mastering these skills, they're primed for careers as clinical informatics specialists, health data analysts, and telehealth coordinators. As digital healthcare solutions gain momentum, Medical & Health Informatics emerges as an essential discipline, training the next wave of professionals to revolutionize health services with technology.

Study Programs in English

Universities

Universities in International Rankings

€ 0 (10 programs for EU citizens, 8 programs for Non-EU citizens)

€ 6,650 per semester (1 program for EU citizens/Non-EU)

Winter Semester

between June 15 and June 01

Summer Semester

between July 15 and September 15

Top-ranked German Universities in Medical & Health Informatics

private (state-approved) University of Applied Sciences

No. of Students: approx. 105,000 students

Program Fees: € 4,650 - € 5,975 (per semester)

public University

No. of Students: approx. 8,900 students

Program Fees: € 0 (per semester)

No. of Students: approx. 36,000 students

No. of Students: approx. 38,000 students

No. of Students: approx. 37,000 students

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Tuition Fees

3 english degree programs for medical & health informatics in germany.

Friedrich Schiller University Jena Jena

Ehealth and communication.

Otto von Guericke University Magdeburg Magdeburg

Medical systems engineering.

Medical Photonics

Application Deadlines

Winter Semester 2024/2025

Summer Semester 2025

Winter Semester 2025/2026

Open Programs

11 programs

Application Modes

Application process.

Deggendorf Institute of Technology Deggendorf

Life science informatics.

Deggendorf Institute of Technology Pfarrkirchen / Deggendorf

Health informatics.

Digital Health

TOEFL Scores

Cambridge Levels

5.5 (1 program )

72 (1 program )

B2 First (FCE) (2 programs )

7 (3 programs )

95 (3 programs )

C2 Proficiency (CPE) (2 programs )

Hasso Plattner Institute (HPI) University of Potsdam · Potsdam

University of Tübingen Tübingen

Medical informatics.

University of Bonn Bonn

2-7 semesters

→ View all programs with online courses

Master of Business Administration

Master of Science

Bachelor of Science

Winter intake

Summer intake

Winter & Summer intake

List of all German Universities offering English-taught Study Programs in Medical & Health Informatics

Charité - Universitätsmedizin Berlin

Program Fees: € 0

M.Sc. (Master of Science)

Deggendorf Institute of Technology

B.Sc. (Bachelor of Science)

Freie Universität Berlin

Friedrich Schiller University Jena

Program Fees: € 0 - € 4,300

Furtwangen University

Program Fees: € 4,500

MBA (Master of Business Administration)

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Health Data Sciences

The PhD Program in Health Data Sciences at the Charité - Universitätsmedizin Berlin is aimed at qualified young scientists interested in: deepening their methodological knowledge in the fields of biostatistics, epidemiology, public health, meta-research, population health science and medical informatics.

Charité - Universitätsmedizin Berlin Multiple locations Berlin , Germany Top 6% worldwide Studyportals University Meta Ranking 3.8 Read 9 reviews

Health Data Sciences (HDS) at the Charité - Universitätsmedizin Berlin is an emerging scientific discipline, fusing the strengths of multiple research fields including biostatistics, epidemiology, meta-research, public health, population health science and medical informatics. 

Features 

• HDS employs a synergistic approach to provide comprehensive, evidence-based solutions to complex, real-world health problems using various data resources.

Programme Structure

Curriculum: 

• By employing innovative analytical tools, HDS methodology provides insight both into patterns within data as well as possible underlying causal structures. 
• Its comprehensive modeling approaches combine critical and conceptual reasoning with the latest advances in computer science to ensure accurate analysis and interpretation of data as well as effective communication of reliable conclusions for health promotions.

Key information

• 36 months

Start dates & application deadlines

• Apply before 2025-02-28 00:00:00

Disciplines

Academic requirements.

We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.

English requirements

Student insurance.

Make sure to cover your health, travel, and stay while studying abroad. Even global coverages can miss important items, so make sure your student insurance ticks all the following:

• Additional medical costs (i.e. dental)
• Repatriation, if something happens to you or your family
• Home contents and baggage

We partnered with Aon to provide you with the best affordable student insurance, for a carefree experience away from home.

Starting from €0.53/day, free cancellation any time.

Remember, countries and universities may have specific insurance requirements. To learn more about how student insurance work at Charité - Universitätsmedizin Berlin and/or in Germany, please visit Student Insurance Portal .

Other requirements

General requirements.

• Completed HDS PhD Program Application Form
• Curriculum Vitae (CV) (max. 2 pages) (Preferably in English)
• Letter of motivation (must be in English) conveying your scientific interests, academic achievements and professional background. Provide any specific details of preliminary discussions with potential supervisors regarding your project ideas and how your project fits in with your supervisors’ expertise and their roles. (max. 1-2 pages)
• Letter of recommendation from a university professor or lecturer (in English or German)
• Copies of all Bachelor's and Master's degree certificates, or other university degree certification qualifying you for doctoral thesis registration according to the Charité – Universitätsmedizin Berlin regulations

Tuition Fee

International.

• The HDS PhD Program does not charge tuition fees. However, prospective students will need to pay student enrollment (matriculation) fees for each semester.

Living costs for Berlin

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.

In order for us to give you accurate scholarship information, we ask that you please confirm a few details and create an account with us.

Scholarships Information

Below you will find PhD's scholarship opportunities for Health Data Sciences.

Available Scholarships

You are eligible to apply for these scholarships but a selection process will still be applied by the provider.

Read more about eligibility

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International Programmes 2023/2024

PhD Programme in Biomedical Data Science PhD Programme in Biomedical Data Science

Hannover medical school • hannover.

• Course details
• Costs / Funding
• Requirements / Registration
• Leibniz University Hannover
• Helmholtz Institute for Infection Research Braunschweig
• Technical University Braunschweig
• University of Veterinary Medicine Hannover
• Ostfalia University
• Fraunhofer Institute
• Several other research institutions in the Hannover region

German classes are offered.

Digitisation and advances in data science, including artificial intelligence (AI), which influence and change all areas of life, have a particular impact on life sciences and health-related sciences. For example, large data sets for each individual patient are already routinely collected and systematically recorded. A further increase in complexity is expected in the coming years due to increasing use of molecular and imaging diagnostics. The degree of resolution – already at single-cell level – will continue to increase in all disciplines of life sciences, and the need to process and combine huge data sets such as the phenome, genome and exposome, including continuously measured health data such as heartbeat or activity measurements of wearables, will increase. The processing and analysis of such complex data is one of the greatest challenges for life sciences, and in particular, for health-related sciences. However, there are few experts, and application is limited and constrained by the scientific environment, which hinders the full use of existing and expected data. As part of the Translationsallianz in Niedersachsen (TRAIN), which integrates various regional partners from translational research, the concept of a cross-university PhD programme involving non-university institutions was developed to enable the combination of different scientific and technological disciplines relevant to biomedical data science. The start of "BIOMEdical DAta Science (BIOMEDAS)" took place in the winter semester 2020 at Hannover Medical School (MHH), which is the leading institution of the new programme of the Hannover Biomedical Research School (HBRS). BIOMEDAS is directed to students who are interested in combining disciplinary knowledge with the skills of a data scientist and working at the interface of bioinformatics, medical informatics, databases, data mining, machine learning, applied mathematics, biomedical modelling and analysis of complex networks. Joint data science projects between the different partners are further developed in different areas, which open up numerous opportunities for interdisciplinary exchange. In particular, projects in the areas of “exploiting the potential of available biomedical and clinical data sources“, “making use of biomedical data to realise personalised medicine”, “understanding pathomechanisms through biomathematical modelling” and “employing artificial intelligence to develop tailored diagnostic and treatment strategies” will be researched by BIOMEDAS students. The PhD programme applies a collaborative training principle involving supervisors from the individual partners. Annual meetings with the thesis advisory committee and a combination of a core research project and individual courses form the basis of the training programme.

The course is organised similarly to all other programmes in Hannover Biomedical Research School. https://www.mhh.de/hbrs  

• International guest lecturers
• Specialist literature in other languages
• Language training provided
• Training in intercultural skills
• Study trips
• Projects with partners in Germany and abroad

About 400 EUR per semester

About 1,000 EUR

All PhD students are financially supported, usually by means of the respective supervisor.

BIOMEDAS is addressed to students who are interested in combining disciplinary knowledge with skills in biomedical data science. These can be either computer scientists or life scientists who already have a training in bioinformatics and are interested in developing their career in biomedical data science.

In order to be registered to the PhD programme, a successfully completed university degree in computer science related fields (e.g. medical computer science, bioinformatics, physics, engineering, computer science, statistics, mathematics) or in health science related fields (e.g. medicine, veterinary medicine, pharmacy, life sciences) is mandatory. Applicants from the field of computer science have to demonstrate an adequate understanding of biomedical research, while applicants from the field of health sciences have to demonstrate competence in data science. The proof must be submitted to the programme commission, which may propose further qualification measures in consultation with the supervisor.

Excellent English

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Health Data Sciences

Upon successful completion of the program, students will be awarded the academic degree of "Doctor of Philosophy" (PhD).

For more information about the eligibility criteria and admission procedure of the HDS PhD Program as well as the DAAD GSSP scholarships, please visit the program website.  

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GERMANY: 7 Fully Funded PhD Positions in Data Science & Health

Do you want to bring artificial intelligence (AI) and data science to the forefront of health research? The Karlsruhe Institute of Technology is a top-ranked computer science university and Helmholtz research center. The German Cancer Research Center is the largest biomedical research institution in Germany with leading research in health data sciences. The Heidelberg University is the oldest university in Germany with a leading university clinic and excellent track record in scientific computing. These three top institutions joined to tackle this thrilling area by providing a unique doctoral program.

Apply if you can see the potential of techniques like deep learning in the health sector, and if you feel ready for shaping the future of our well-being. We offer projects in a collaborative research environment across discipline borders, focusing on topics in the following data science areas:

• Imaging & Diagnostics

• Surgery & Intervention 4.0

• Models for Personalized Medicine

Requirements:

We are looking for excellent graduates holding a master's degree, received by July 2022 at the latest, in computer science, mathematics, engineering, physics or related quantitative sciences (e.g. bioinformatics or medical informatics).

For a description of the application procedure and to fill in the essential HIDSS4Health application forms please visit https://www.hidss4health.de/#apply prior to submitting your application.

Cutting-edge research and working with top-experts in data science, AI, health and medicine

Inspiring work environment in an interdisciplinary setting

Integrated structured training curriculum of scientific and professional skills taught in English

Financial support for attending conferences and research collaborations, including a funded 4 months visit at a leading international or national research institution or university

A contract for a fully-funded position with competitive salary according to the applicable regulations of the participating institutions (e.g. German E13 TVöD or TV-L) at one of the three HIDSS4Health research institutions

Possible Start Date: Successful candidates will start their scientific work between May and September 2022.

Duration: The position is limited to 3 years with the possibility of prolongation. ​​

Application Deadline: 6 February 2022

Prof. Dr. Klaus Maier-Hein

Phone +49 (0)6221/42-2354

We ask for your understanding that we do not accept applications submitted via email. We apologize for any inconvenience this may cause.

To apply for a position please visit https://www.hidss4health.de/#apply to fill in the required application documents which need to be uploaded with your application.

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Higher Education Compass

Biomedical informatics and data science part time degree programmes for professionals, distance studies, master of science.

Master Degree

4 semesters

Standard period of study (amount)

expired (Germans and inhabitants)

Overview and admission, admission semester.

Winter Semester only

Area of study

• Human Biology, Biomedicine
• Bioinformatics
• Medical Informatics
• Human Medicine

Medicine, Computer Science, Medical Informatics, Biomedical Data Science, Management

Target group

This postgraduate Master's degree is aimed at working graduates of medical informatics, medical documentation, computer science, bioinformatics, medicine, and natural and life sciences from a medical environment who want to work as experts in individualised patient care as well as in supporting medical and biomedical research. Who intend to take on management tasks in a leadership function in the future or who want to gain further academic qualifications (e.g. doctorate).

The degree will provide you with an overview and fundamental understanding of issues and trends in advancing individualised patient care and supporting biomedical research and its impact on organisations. They deal with current and relevant concepts, methods, techniques and tools of biomedical informatics and data science in a specialised and scientifically sound way. They acquire new knowledge and are enabled to apply it practically and evidence-based in solving complex problems as well as in the context of patient care. In addition, you will deepen and expand your methodological skills in the area of management & social skills. In the degree course, you will continue to develop your professional attitude towards the subject and will be prepared to contribute to the further development of the field in science and practice and to take on strategic and leadership tasks in the health care sector in the future.

Admission modus

selection by the HEI

Admission requirements (Link)

Admission requirements

First university degree in medical informatics, medical documentation, computer science, bioinformatics, medicine or natural and life sciences from a medical-related field and at least 1 year of study-related work experience

Lecture period

• 26.09.2023 - 19.01.2024
• 01.03.2024 - 31.08.2024

Application deadlines

Winter semester (2023/2024), application deadline for germans and inhabitants, deadlines for international students from countries that are not members of the european union.

Partial deadline until 15.05 or earlier!

Tuition fee

17,900.00 EUR / total

Fees (Link)

Languages of instruction

Main language.

Deutscher Akademischer Austauschdienst e.V. Kennedyallee 50 53175 Bonn

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• Economic cooperation and contract research
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Informatics for People

The latest techniques and intelligent methods for computer-aided information processing in medicine are the focus of this Bachelor's and Master's programme.

The main focus of the studies is on the following areas:

eHealth – Information Systems in the Healthcare Sector

• Medical Data Science and Artificial Intelligence (new)
• Medical image processing

Bioinformatics

Computerised collection, processing and application of patient data are playing an ever-greater role for their care in hospitals and doctors’ offices, for managing the system and for clinical research. In our eHealth programme, you will learn how to process patient data efficiently in information systems and to systematically and securely combine these from diverse medical facilities into electronic patient files.

Medical Data Science and Artificial Intelligence

In this new focus you will learn about the latest methods for the evaluation, analysis and interpretation of medical data. Methods of machine learning and artificial intelligence enable an increasingly automated evaluation of complex patient data. Of particular interest here are neural networks and deep learning methods, which open up new possibilities for supporting medical diagnostics and therapy.

Medical Imaging and Signal Processing

In the Medical Imaging and Signal Processing programme, we teach you practical techniques for medical imaging and the latest computer analysis methods and visualisation of medical images and biosignals – which already enable medical practitioners to provide better treatments of patients or will do so in the future.

In our Bioinformatics programme, you will apply informatics methods to biological, especially genetic data, which are becoming increasingly important in advanced medicine.

You will be introduced to cellular biology, genetics and information processing techniques. These are of particular importance for consolidating your knowledge by choosing from among the compulsory courses in bioinformatics.

Job Prospects

For years, the demand has been high for medical informatics graduates.

In view of the growing significance of IT in modern medicine, one expects the demand to keep rising for highly-qualified IT professionals in the healthcare sector and medical engineering.

Medical Informatics Programme

The courses of both the bachelor and the master degree programmes are generally taught in German. In particular, applicants must have a good command of German. Please consult the German pages on the programmes for details.  

Courses Taught in English

Although the majority of the courses in the degree programmes are taught in German, there are a number of courses taught in English that are suitable for exchange students.

German programmes pages

Visiting as an exchange student

Degree Programmes

Universität zu Lübeck Ratzeburger Allee 160 23562 Lübeck Tel. +49 451 3101 0 Fax +49 451 3101 1004 Universitätsklinikum Schleswig-Holstein (UKSH)

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Medical Informatics

The Master’s program in Medical Informatics at the University of Tübingen teaches fundamental principles, concepts and methods of computer science and, beyond that, of medicine and the natural sciences. Completing this program will enable you to work on tasks in various fields related to medicine while using your knowledge of computer science, system development, and project management.

Master of Science

Duration: 4 semesters

Credits: 120 ECTS

Summer semester mid Dec. - 15 Jan (Non-EU) / 15 March (EU) Winter semester mid June - 15 July (Non-EU) / 15 Sept. (EU)

A special feature of our program is that it can also be taken with a related Bachelor other than Medical Informatics. However, if you don´t have a first degree in Medical Informatics, please take into account that you need to take additional courses for which German language is required .

Due to the interdisciplinary focus of this program, graduates hold positions in the entire IT industry, particularly in medical information processing and healthcare. Those who want to pursue an academic career will have the option to apply for a subsequent PhD program.

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APPLICATION

Apply for Medical Informatics M.Sc.  

• for the summer semester: from mid December until January 15th (Non-EU residents) respectively until March 15th (EU residents).
• for the winter semester: from mid June until July 15th (Non-EU residents) respectively until September 15th (EU residents).

Or get further information about application and enrollment.

University of Tübingen

The University of Tübingen has been a place of top-level research and excellent teaching for more than 500 years.

CITY OF TÜBINGEN

Tübingen is located in south-west Germany, about 250 kilometers south of Frankfurt. The town has some 90,000 inhabitants.

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Medical Informatics Program

General information for those interested in our Medical Informatics program, can be found on the pages of Heidelberg University.

If you have any questions about the Medical Informatics program, please feel free to contact our faculty advisors Niclas Hagen and Vanessa Jörns.

For those who do not yet know exactly what Medical Informatics is

Typical tasks in which medical informatics supports healthcare professionals include processing and presenting data, information and knowledge, documentation and data integration, decision support, and medical software development.

A short introduction to Medical Informatics and an overview of the topics, gives this video of the gmds (German Society for Medical Informatics, Biometry and Epidemiology e.V.).

Our Medical Informatics program is run jointly with Heilbronn University. From Heidelberg side we are mainly responsible for medical and medical informatics content. These are currently the courses:

Bachelor Medical Informatics:

V Diagnostic Systems

V Introduction to Bioinformatics

V Introduction to Medical Documentation

V Introduction and Operation of Information Systems

V Fundamentals of Healthcare Information Systems

V Medicine 1

V Medicine 2

V Medical Methodology

P Internship Medical Informatics

S Seminar Medical Informatics

V Tactical Management of Information Systems in Healthcare

V Therapeutic Systems

Master Medical Informatics:

V Application areas and interaction scenarios

V Social relations of medical informatics

V Healthcare information systems

V International course on strategic information management ('Frank van Swieten Lectures')

V Communication standards and protocols in telemedicine

V Non-technical aspects of telemedicine

P Practical course in telemedicine

V Theoretical foundations of bioinformatics

V Advanced techniques in C++ V Knowledge-based diagnosis and therapy support.

* = These courses are coordinated with external lecturers.

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PhD Student – Medical Informatics (m/f/d)

PhD Student – Medical Informatics (m/f/d) Stellenanzeige merken Stellenanzeige teilen 01.07.2024 searched for Department of Diagnostic and Interventional Radiology to work at. At the department

Bachelor or Master Thesis in Evaluation and REfinement of a visual ML-Toolkit

Computer Science , Human-Computer Interaction, Media Informatics , Medical Engineering or a related field. Proficiency in web programming languages and frameworks. A solid understanding of Machine Learning principles

Thesis Design & Evaluation of a Mobile Phone Interface for Medical Report Simplifications

effectively aids patients in understanding their medical reports more clearly. The topic is suitable for bachelor or master thesis. What you bring to the table enrolled student in Computer Science , Human

Research data and application specialist for microscopy (f/m/d)

, bio( medical ) informatics or computational biology, or similar background profound hands-on experience in using confocal and lightsheet microscopy, professional software packages for bioimage processing

Internship in the field of network performance analysis and medical robotics

Specialization: Automation technology, electrical engineering, computer science , communication sciences, mechatronics, software engineering, computer engineering, biomedical engineering or similar

Student Assistant 3D Data-/Video Processing / Machine Learning

processing, 3D scene reconstruction and analysis for digital and immersive media as well as medical technology and industrial applications. Become a part of our team and join us on our journey of research and

Student Assistant Applied Machine Learning, Software Development

learning models Analysis and preprocessing of different data types, mostly medical data Applied science in exciting projects Preparation of presentations Review of relevant literature and data Testing

Artificial Intelligence in Semiconductor Technology

manufacturing and medical technology. Are you passionate about cutting-edge research at the intersection of semiconductor technology and artificial intelligence? Join us as a student in our team for artificial

BA / MA Theses in the field of Ultrasound

: physics, electrical engineering, computer science , systems engineering, mathematics, medical informatics or similar subjects. •    You have knowledge of Python, enjoy laboratory work, and want to further

Student assitant (f/m/d) in the field of laser technology

, and medical technology? Then become part of our #OneTeam and apply for a position as a student assistant (m/f/d) at the Fraunhofer Institute for Laser technology ILT, a leading center for research and

Searches related to medical informatics

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Search UTHealth Houston

• Academic Administration

The University of Texas Health Science Center at Houston (UTHealth Houston) is primarily a graduate-level university focusing on the health sciences. Located in the prestigious Texas Medical Center, UTHealth Houston consists of six schools - offering programs in biomedical science, dentistry, biomedical and health informatics, medicine, nursing, and public health.

UTHealth Houston's academic degree programs are listed by CIP Code on the Texas Higher Education Coordinating Board's  CIP Program Inventory Report .

Cizik School of Nursing

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McGovern Medical School

MD MS in Anesthesia MS in Clinical Research

MD Anderson UTHealth Graduate School of Biomedical Sciences

MS in Biomedical Sciences MS in Genetic Counseling MS in Medical Physics PhD in Biomedical Sciences Graduate Certificate in Medical Physics

McWilliams School of Biomedical Informatics

MS in Biomedical Informatics PhD in Biomedical Informatics DHI in Health Informatics Graduate Certificate in Public Health Informatics Non-Degree Graduate Certificate Offerings

School of Dentistry

DDS MSD  BS in Dental Hygiene MS in Dental Hygiene Certificate in Advanced Education Programs (Endodontics, Orthodontics, Pediatric Dentistry  Periodontics, and Prosthodontics) Certificate in Dental Hygiene

School of Public Health

MPH  MS DrPH  PhD  Graduate Certificate in Public Health Graduate Certificate in Public Health Informatics Non-Degree Graduate Certificate Offerings

Dual Degree Programs and Pathways:

Uthealth houston schools, through internal collaborations, create opportunities for students to earn two degrees simultaneously while enrolled at the university. these internal dual degree and pathways include:.

• MD/PhD  McGovern Medical School and MD Anderson UTHealth Graduate School
• MD/MPH   McGovern Medical School and UTHealth School of Public Health
• MD/MS McGovern Medical School and McWilliams School of Biomedical Informatics
• MS/MPH   McWilliams School of Biomedical Informatics and  UTHealth School of Public Health
• PhD/MPH McWilliams School of Biomedical Informatics and UTHealth School of Public Health
• MPH/DDS UTHealth School of Public Health and UTHealth School of Dentistry
• MPH/DH  (Accelerated Master's Program) UTHealth School of Public Health and UTHealth School of Dentistry

UTHealth Houston schools also collaborate with a multitude of accredited institutions across Texas to create dual degree programs and accelerated master's programs (4+1). For up-to-date information please visit the school websites.

UTHealth School of Public Health

The University of Texas Health Science Center at Houston is accredited by the Southern Association of Colleges and Schools Commission on Colleges (SACSCOC) to award baccalaureate, masters, doctoral, and professional degrees. Degree-granting institutions also may offer credentials such as certificates and diplomas at approved degree levels. Questions about the accreditation of The University of Texas Health Science Center at Houston may be directed in writing to the Southern Association of Colleges and Schools Commission on Colleges at 1866 Southern Lane, Decatur, GA 30033-4097, by calling (404) 679-4500, or by using information available on SACSCOC’s website ( www.sacscoc.org ).

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Premedical Program

Prepare for medical, dental, veterinary, or physician assistant (PA) school through the postbaccalaureate Premedical Program at Harvard Extension School.

Overview & Benefits of the Premedical Program

In the Premedical Program, you’ll take challenging core science courses, many of which are taught by Harvard University faculty. And you’ll have the opportunity to enroll in clinically relevant electives.

Through either the premedical or pre-physician assistant (physician associate) track , you’ll develop the knowledge and skills necessary to succeed in professional school and demonstrate your competency to admissions committees.

Individualized curriculum to help you become a competitive applicant

Personalized advising on course selection, the application process, & sponsorship

Harvard faculty from such schools as the Medical School & School of Dental Medicine

Flexible course schedules for the part-time student

Clinical & research opportunities

Engaged peer community & Harvard alumni network

The Premedical Program offers two tracks:

We’ll work with you to create a customized course curriculum to meet your academic needs based on:

• Your chosen curriculum track
• An assessment of the courses you took as part of your undergraduate degree
• The courses you’ll need to fill gaps and complete prerequisites.

Most students take a mix of core courses and electives in biology, general chemistry, organic chemistry, physics, and math.

Watch Our Information Session

Learn more about the Premedical Program from our program administrators and a current student in our recorded information session .

Our faculty come from across Harvard University, including Harvard Medical School, Harvard School of Dental Medicine, and the TH Chan School of Public Health.

Director, Premedical Program, Harvard Extension School

Sirinya Matchacheep

Lecturer on Chemistry and Chemical Biology and Director of Instructional Laboratory Programs, Harvard University

Britt Stockton Lee

Clinical Simulation Faculty, MEDscience Simulation Lab, Harvard Medical School

Our Student Community

Graduates of the Premedical Program have been accepted into—and graduated from—top medical and dental schools across the United States, including Brown University, Emory University, Johns Hopkins, and Weill Cornell Medical College.

As a student, you'll engage with peers and faculty regularly in class and weekly gatherings. After you complete the program, you’ll join the global network of the Harvard Alumni Association.

Learn more about our students in the Premedical Program Fast Facts sheet .

Check out the full list of program benefits .

Average age

Average # of years between undergrad degree earned and program admission

Have healthcare work experience

Average # of years to program completion

The weekly clinician chats are excellent opportunities to connect with physicians in the Boston area and gain exposure to the various paths in medicine one can take.

Cost & Aid

The total cost of the program will depend on how many courses (credits) you need to complete the requirements of your chosen programs and schools.

• Course tuition: Our 2023–24 tuition for a 4-credit undergraduate course is $2,040.
• Financial aid: After admission, you may qualify for federal aid. Typically, eligible students receive grant funds to cover a portion of tuition costs each term, in addition to federal financial aid options.
• Reduced Harvard Summer School tuition: You’ll pay Harvard Extension School tuition rates for Summer School courses as a student in the program. 
• Payment plan: Program participants may be eligible to enroll in an interest-free payment plan for fall, spring, and summer tuition.

Admission to the Premedical Program

Students in the postbaccalaureate Premedical Program are chosen through a selective application process. The application process is the same for all students interested in pursuing medical school, physician assistant school, dental school, and veterinary school. 

You are eligible to apply if you meet the following criteria:

• Have completed a bachelor’s degree from an accredited institution.
• Are a US citizen or permanent resident.
• Have English language proficiency.

Applications for the Premedical Program are accepted between January 10 and April 10.

Harvard Division of Continuing Education

The Division of Continuing Education (DCE) at Harvard University is dedicated to bringing rigorous academics and innovative teaching capabilities to those seeking to improve their lives through education. We make Harvard education accessible to lifelong learners from high school to retirement.

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Health Informatics—MS

• Applied Computing
• Health Informatics

A Multi-Disciplinary Professional Field

Health informatics, a multi-disciplinary professional field, studies and pursues the effective uses of biomedical data, information, and knowledge for scientific inquiry, problem-solving, and decision making. The advancement of technology in the medical field, accompanied by the requirements to keep sensitive data confidential, has created a robust need for health informatics specialists who work at he intersection of information science, computer science, and health care.

Health Informatics Employment Outlook

Employment of medical and health services managers , the BLS sector into which Health Informatics falls, is expected to grow much faster than average at 28% from 2022 to 2032, with professionals earning a median salary of $110,680 per year in 2023. Students graduating from the MTU MS in Health Informatics program have a median average starting salary of approximately $107,900 per year and often receive multiple job offers. 

Health Informatics News

• #3 best medical informatics colleges in Michigan
• #6 best online master’s in health informatics
• #8 best master’s in health informatics degree programs
• top 3 best online health informatics master's degree in Michigan

LEAP Advantage

Students from India, earn your STEM master’s degree at one of the leading health informatics departments in the US with state-of-the-art labs and computer centers.

• GRE scores are waived for students applying through Leap Advantage.
• 1st semester, study online in India and then transition to Michigan Tech’s campus.
• Academic mentoring, pedagogy, and coursework by MTU faculty and staff.
• Non-academic support provided by Leap, including visa, counseling, mentorship, and soft skills training.
• Save on overall costs and still have OPT opportunities.

Eligibility

An undergraduate degree in a health related or computing focused field from a regionally accredited academic institution with a cumulative GPA of 3.00 or higher on a 4.0 scale.

Biomolecular Engineering & Bioinformatics M.S. and Ph.D.

The Department of Biomolecular Engineering offers interdisciplinary M.S. and Ph.D. degrees in biomolecular engineering and bioinformatics and accepts students from a wide-variety of backgrounds. A typical cohort includes incoming students from molecular biology, genetics, computer science, engineering, and mathematics. The unifying theme of our research training program is using quantitative approaches to addressing fundamental questions in biology and biomedical science.

Program coursework is designed to provide the technical skills in programming and other technical skills required for independent and advanced scientific discovery. Incoming students undertake rigorous core coursework, conduct laboratory rotations (Ph.D. only), and are exposed to a rich environment of regular seminars and group meetings. Students interact closely with biomolecular engineering and bioinformatics faculty members while undertaking their dissertation research (Ph.D.) or capstone projects (M.S.), and have first-hand access to state-of-the-art computation tools and laboratory facilities throughout their training, including cluster computing and high-throughput sequencing facilities.

Please refer to the Division of Graduate Studies Admissions website for our current application due date .

Apply to MS Apply to PhD

NOTE: GRE no longer required for Biomolecular Engineering & Bioinformatics MS and PhD applications

The Ph.D. program prepares students to lead independent research programs in academic or industry settings.  The PhD program accepts students through the  BMEB track  of the umbrella  Program in Biomedical Sciences and Engineering  (PBSE).  The program duration is typically five to seven years.

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The M.S. program is designed to prepare students for careers in contemporary biomedical research settings in the biotechnology industry. The program duration is typically one to two years.

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AHS professor wins Physician Innovator Award

Emily Parenti-Lopez

Friday, June 7, 2024

Andrew Boyd , BHIS associate professor, was named the 2024 winner of the American Medical Informatics Association’s Clinical Informatics Physician Innovator Award.

The award has been presented to outstanding physicians annually since 2021 at the association’s Clinical Informatics Conference .

Informatics is the science of using biomedical data to improve human health, aid in the delivery of healthcare services and increase knowledge for scientific inquiry.

“We live in an age where massive amounts of medical information is available,” said Kal Pasupathy , BHIS department head and professor.

Dr. Boyd is a well-recognized physician-scientist who has in-depth clinical knowledge, years of experience and know-how to simplify various forms of data into a computable form. The American Medical Informatics Association is a leader in transforming healthcare through informatics. It is very fitting that he is recognized by this community for his innovative efforts and years of contribution. We are proud of Dr. Boyd.

Boyd’s recent work has focused on equity in health data and informatics. He co-directs UIC’s Institute for Equitable Health Data Science Research , which was created in February 2024 to analyze and eliminate potential biases in health data before they are embedded into artificial intelligence algorithms. This effort will create biomedical science and technology solutions while prioritizing health equity for diverse populations in Chicago and beyond.

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Biomolecular Engineering and Bioinformatics

• Engineering & Technology
• Undergraduate Minor
• Jack Baskin School of Engineering
• Biomolecular Engineering

On This Page

Program overview.

Biomolecular Engineering and Bioinformatics is an interdisciplinary program that combines expertise from biology, mathematics, chemistry, computer science, and engineering to train students and develop technologies to address major problems at the forefront of biomedical and bio-industrial research. The program builds upon the research and academic strengths of the faculty in the Biomolecular Engineering Department, as well as many other departments.

Learning Experience

The Biomolecular Engineering concentration is designed for students interested in protein engineering, stem cell engineering, and synthetic biology. The emphasis is on designing biomolecules (DNA, RNA, proteins) and cells for particular functions, and the underlying sciences are biochemistry and cell biology.

The Bioinformatics concentration combines mathematics, computer science, and engineering to explore and understand biological data from high-throughput experiments, such as genome sequencing, gene-expression chips, and proteomics experiments.

Study and Research Opportunities

• There are two concentrations in the major: biomolecular engineering (wet lab) and bioinformatics (dry lab).
• There is a minor in bioinformatics, suitable for students majoring in the life sciences.
• All major students have a 3-quarter capstone experience, which can be an individual thesis, an intensive group engineering project, or a series of project-intensive graduate bioinformatics courses.
• One of the capstone options for the concentration in biomolecular engineering is the international iGEM synthetic biology competition, which UCSC sends a team to every year.
• Students are encouraged to participate in faculty research early, particularly if they intend to do a senior thesis.

First-Year (Freshman) Requirements

High school students intending to apply to this major should have completed at least four years of mathematics (through advanced algebra and trigonometry) and three years of science in high school. AP Calculus courses, and some familiarity with programming, are recommended but not necessary.

Transfer Requirements

This is a screening major . Transfer students need to have completed eight transferable courses that count toward the major, with a GPA in those courses of 2.8 or better. However, students are recommended to complete at least ten transferable courses prior to transfer, as they may otherwise have difficulty finishing in a timely fashion.

Students may satisfy the bioethics requirement if they have completed a suitable ethics course at their community college before transfer, even if the course does not articulate to BME 80G.

Internships and Career Opportunities

Students in Biomolecular Engineering and Bioinformatics can look forward to careers in academia, the information and biotechnology industries, public health, or medical sciences.

Unlike other engineering fields, but like life sciences, biomolecular engineers generally need to get Ph.Ds to get cutting-edge research and design jobs.

Those in bioinformatics can get good-paying jobs with just a B.S., though an M.S. degree offers the most potential for rapid advancement. The Wall Street Journal recently ranked UCSC as the number two public university in the nation for high-paying jobs in engineering .

Program Contact

Biomolecular Engineering and Bioinformatics Program

apartment  Baskin Engineering Building email  [email protected] phone  ( 831) 459-4877

Adam Seiver, MD, PhD, MBA, FACS, FCCM

Lessons from an engineering life in medicine.

Adam Seiver serves as Chief Medical Officer for the Patient Care and Monitoring Solutions business of Philips Healthcare, with responsibility for medical direction of respiratory, emergency care, and monitoring solutions.

Prior to joining industry—Respironics in 2003, and then Philips via acquisition in 2008—he practiced trauma surgery and surgical intensive care for 20 years on the faculty of the Department of Surgery at Stanford Medical School, in Palo Alto, California. His research has focused on computer applications to critical care, emphasizing mathematical modeling and decision support.

He has taught on the consulting faculty of Management Science and Engineering in the School of Engineering at Stanford University. He has also taught Decision Models and Optimization as a visiting professor in the business school at Duke University. His current clinical practice involves critical care telemedicine, directing the 161-bed  e ICU program (VISICU/Philips) of the Sutter Health System, Sacramento, California.

Dr. Seiver holds an MD and PhD (Decision Analysis) from Stanford University, with an MBA from Duke University. He completed his surgery residency at Stanford University Hospital leading to Board certification in Surgery with Added Qualifications in Critical Care.

Additionally, he is certified in Clinical Informatics by the American College of Preventative Medicine. He is a Fellow of both the American College of Surgery and the American College of Critical Care Medicine.