undergraduate thesis topics for computer science 2022

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Research Topics & Ideas: CompSci & IT

NB – This is just the start…

The topic ideation and evaluation process has multiple steps . In this post, we’ll kickstart the process by sharing some research topic ideas within the CompSci domain. This is the starting point, but to develop a well-defined research topic, you’ll need to identify a clear and convincing research gap , along with a well-justified plan of action to fill that gap.

Overview: CompSci Research Topics

• Algorithms & data structures
• Artificial intelligence ( AI )
• Computer networking
• Database systems
• Human-computer interaction
• Information security (IS)
• Software engineering
• Examples of CompSci dissertation & theses

Topics/Ideas: Algorithms & Data Structures

• An analysis of neural network algorithms’ accuracy for processing consumer purchase patterns
• A systematic review of the impact of graph algorithms on data analysis and discovery in social media network analysis
• An evaluation of machine learning algorithms used for recommender systems in streaming services
• A review of approximation algorithm approaches for solving NP-hard problems
• An analysis of parallel algorithms for high-performance computing of genomic data
• The influence of data structures on optimal algorithm design and performance in Fintech
• A Survey of algorithms applied in internet of things (IoT) systems in supply-chain management
• A comparison of streaming algorithm performance for the detection of elephant flows
• A systematic review and evaluation of machine learning algorithms used in facial pattern recognition
• Exploring the performance of a decision tree-based approach for optimizing stock purchase decisions
• Assessing the importance of complete and representative training datasets in Agricultural machine learning based decision making.
• A Comparison of Deep learning algorithms performance for structured and unstructured datasets with “rare cases”
• A systematic review of noise reduction best practices for machine learning algorithms in geoinformatics.
• Exploring the feasibility of applying information theory to feature extraction in retail datasets.
• Assessing the use case of neural network algorithms for image analysis in biodiversity assessment

Topics & Ideas: Artificial Intelligence (AI)

• Applying deep learning algorithms for speech recognition in speech-impaired children
• A review of the impact of artificial intelligence on decision-making processes in stock valuation
• An evaluation of reinforcement learning algorithms used in the production of video games
• An exploration of key developments in natural language processing and how they impacted the evolution of Chabots.
• An analysis of the ethical and social implications of artificial intelligence-based automated marking
• The influence of large-scale GIS datasets on artificial intelligence and machine learning developments
• An examination of the use of artificial intelligence in orthopaedic surgery
• The impact of explainable artificial intelligence (XAI) on transparency and trust in supply chain management
• An evaluation of the role of artificial intelligence in financial forecasting and risk management in cryptocurrency
• A meta-analysis of deep learning algorithm performance in predicting and cyber attacks in schools

Topics & Ideas: Networking

• An analysis of the impact of 5G technology on internet penetration in rural Tanzania
• Assessing the role of software-defined networking (SDN) in modern cloud-based computing
• A critical analysis of network security and privacy concerns associated with Industry 4.0 investment in healthcare.
• Exploring the influence of cloud computing on security risks in fintech.
• An examination of the use of network function virtualization (NFV) in telecom networks in Southern America
• Assessing the impact of edge computing on network architecture and design in IoT-based manufacturing
• An evaluation of the challenges and opportunities in 6G wireless network adoption
• The role of network congestion control algorithms in improving network performance on streaming platforms
• An analysis of network coding-based approaches for data security
• Assessing the impact of network topology on network performance and reliability in IoT-based workspaces

Topics & Ideas: Database Systems

• An analysis of big data management systems and technologies used in B2B marketing
• The impact of NoSQL databases on data management and analysis in smart cities
• An evaluation of the security and privacy concerns of cloud-based databases in financial organisations
• Exploring the role of data warehousing and business intelligence in global consultancies
• An analysis of the use of graph databases for data modelling and analysis in recommendation systems
• The influence of the Internet of Things (IoT) on database design and management in the retail grocery industry
• An examination of the challenges and opportunities of distributed databases in supply chain management
• Assessing the impact of data compression algorithms on database performance and scalability in cloud computing
• An evaluation of the use of in-memory databases for real-time data processing in patient monitoring
• Comparing the effects of database tuning and optimization approaches in improving database performance and efficiency in omnichannel retailing

Topics & Ideas: Human-Computer Interaction

• An analysis of the impact of mobile technology on human-computer interaction prevalence in adolescent men
• An exploration of how artificial intelligence is changing human-computer interaction patterns in children
• An evaluation of the usability and accessibility of web-based systems for CRM in the fast fashion retail sector
• Assessing the influence of virtual and augmented reality on consumer purchasing patterns
• An examination of the use of gesture-based interfaces in architecture
• Exploring the impact of ease of use in wearable technology on geriatric user
• Evaluating the ramifications of gamification in the Metaverse
• A systematic review of user experience (UX) design advances associated with Augmented Reality
• A comparison of natural language processing algorithms automation of customer response Comparing end-user perceptions of natural language processing algorithms for automated customer response
• Analysing the impact of voice-based interfaces on purchase practices in the fast food industry

Topics & Ideas: Information Security

• A bibliometric review of current trends in cryptography for secure communication
• An analysis of secure multi-party computation protocols and their applications in cloud-based computing
• An investigation of the security of blockchain technology in patient health record tracking
• A comparative study of symmetric and asymmetric encryption algorithms for instant text messaging
• A systematic review of secure data storage solutions used for cloud computing in the fintech industry
• An analysis of intrusion detection and prevention systems used in the healthcare sector
• Assessing security best practices for IoT devices in political offices
• An investigation into the role social media played in shifting regulations related to privacy and the protection of personal data
• A comparative study of digital signature schemes adoption in property transfers
• An assessment of the security of secure wireless communication systems used in tertiary institutions

Topics & Ideas: Software Engineering

• A study of agile software development methodologies and their impact on project success in pharmacology
• Investigating the impacts of software refactoring techniques and tools in blockchain-based developments
• A study of the impact of DevOps practices on software development and delivery in the healthcare sector
• An analysis of software architecture patterns and their impact on the maintainability and scalability of cloud-based offerings
• A study of the impact of artificial intelligence and machine learning on software engineering practices in the education sector
• An investigation of software testing techniques and methodologies for subscription-based offerings
• A review of software security practices and techniques for protecting against phishing attacks from social media
• An analysis of the impact of cloud computing on the rate of software development and deployment in the manufacturing sector
• Exploring the impact of software development outsourcing on project success in multinational contexts
• An investigation into the effect of poor software documentation on app success in the retail sector

CompSci & IT Dissertations/Theses

While the ideas we’ve presented above are a decent starting point for finding a CompSci-related research topic, they are fairly generic and non-specific. So, it helps to look at actual dissertations and theses to see how this all comes together.

Below, we’ve included a selection of research projects from various CompSci-related degree programs to help refine your thinking. These are actual dissertations and theses, written as part of Master’s and PhD-level programs, so they can provide some useful insight as to what a research topic looks like in practice.

• An array-based optimization framework for query processing and data analytics (Chen, 2021)
• Dynamic Object Partitioning and replication for cooperative cache (Asad, 2021)
• Embedding constructural documentation in unit tests (Nassif, 2019)
• PLASA | Programming Language for Synchronous Agents (Kilaru, 2019)
• Healthcare Data Authentication using Deep Neural Network (Sekar, 2020)
• Virtual Reality System for Planetary Surface Visualization and Analysis (Quach, 2019)
• Artificial neural networks to predict share prices on the Johannesburg stock exchange (Pyon, 2021)
• Predicting household poverty with machine learning methods: the case of Malawi (Chinyama, 2022)
• Investigating user experience and bias mitigation of the multi-modal retrieval of historical data (Singh, 2021)
• Detection of HTTPS malware traffic without decryption (Nyathi, 2022)
• Redefining privacy: case study of smart health applications (Al-Zyoud, 2019)
• A state-based approach to context modeling and computing (Yue, 2019)
• A Novel Cooperative Intrusion Detection System for Mobile Ad Hoc Networks (Solomon, 2019)
• HRSB-Tree for Spatio-Temporal Aggregates over Moving Regions (Paduri, 2019)

Looking at these titles, you can probably pick up that the research topics here are quite specific and narrowly-focused , compared to the generic ones presented earlier. This is an important thing to keep in mind as you develop your own research topic. That is to say, to create a top-notch research topic, you must be precise and target a specific context with specific variables of interest . In other words, you need to identify a clear, well-justified research gap.

Find The Perfect Research Topic

How To Choose A Research Topic: 5 Key Criteria

Learn how to systematically evaluate potential research topics and choose the best option for your dissertation, thesis or research paper.

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12 Comments

Investigating the impacts of software refactoring techniques and tools in blockchain-based developments.

Steps on getting this project topic

I want to work with this topic and I need a guide: assessing the impact of Network topology on Network performance and reliability in LoT-based workspace.

I want to work with this topic, am requesting materials to guide.

Information Technology -MSc program

It’s really interesting but how can I have access to the materials to guide me through my work?

That’s my problem also.

Investigating the impacts of software refactoring techniques and tools in blockchain-based developments is in my favour. May i get the proper material about that ?

BLOCKCHAIN TECHNOLOGY

I NEED TOPIC

Database Management Systems

Can you give me a Research title for system

Can you suggest a research topic for computer science college student?

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Thesis and Research Topics in Computer Science

Completing a masters Thesis in computer science is the most challenging task faced by research scholars studying in universities all across the world. As computer science is one of the most vast fields opted by research scholars so finding a new thesis topic in computer science becomes more difficult. With each passing day, new and innovative developments are coming out in this era of mechanization. These developments tend to make human life much easier and better. Technology is the forerunner of this new change. Today our life is incomplete without this technology. Cell phones, laptops and all that have become an integral part of our life. Computer Science is the seed to this technical development. There are a number of good topics in computer science for project, thesis, and research for M.Tech and Ph.D. students.

In the field of academics, we need to get rid of obsolete ideas and focus on new innovative topics which are fast spreading their arms among the vast global audience. Computer Science students both in bachelors and in masters are studying the same topics and subjects from the past few years. Students don’t even have knowledge about new masters research topics. For project and thesis work also they are relying on outdated topics. Projects like school management system, library management system etc. are now out of date. Students should shift their focus to latest technologies which are highly in demand these days and future depend upon these. Here is the list of latest topics in Computer Science that you can choose and work for your project work or thesis and research:

List of few latest thesis topics in computer science is below:

• Thesis topics in data mining
• Thesis topics in machine learning
• Thesis topics in digital image processing
• Latest thesis topics in Internet of things (IOT)
• Research topics in Artificial Intelligence
• Networking can be chosen as a  thesis topic in computer science
• Trending thesis topics in cloud computing
• Data aggregation as a  thesis topics  in Big Data
• Research topics  in Software Engineering

Data Warehousing

Data Warehousing is the process of analyzing data for business purposes. Data warehouse store integrated data from multiple sources at a single place which can later be retrieved for making reports. The data warehouse in simple terms is a type of database different and kept isolated from organization’s run-time database. The data in the warehouse is historical data which is helpful in understanding business goals and make decisions for future prospects. It is a relatively new concept and have high growth in future. Data Warehouse provides Online Analytical Processing(OLAP) tools for the systematic and effective study of data in a multidimensional view. Data Warehouse finds its application in the following areas:

• Financial Sector
• Banking Sector
• Retail Services
• Consumer goods
• Manufacturing

So start working on it if you have knowledge of database and data modeling.

INTERNET OF THINGS(IOT)

Internet of Things(IoT)  is a concept of interconnection of various devices, a vehicle to the internet. IOT make use of actuators and sensors for transferring data to and from the devices. This technology is developed for better efficiency and accuracy apart from minimizing human interaction with the devices. The example for this is home heating in some countries when the temperature drops done through motion sensors which automatically detect the weather conditions. Another example for this is the traffic lights which changes its colors depending upon the traffic. Following are the application areas of Internet of Things(IoT):

• Home Automation
• Agriculture
• Transportation
• Environment

BELOW IS THE LIST OF FEW LATEST AND TRENDING RESEARCH  TOPICS IN IOT :-

• The secure and energy efficient data routing in the IOT based networks
• The secure channel establishment algorithm for the isolation of misdirection attack in the IOT
• The clock synchronization of IOT devices of energy efficient data communication in IOT
• The adaptive learning scheme to increase fault tolerance of IOT
• Mobility aware energy efficient routing protocol for Internet of Things
• To propose energy efficient multicasting routing protocol for Internet of Things
• The novel scheme to maintain quality of service in internet of Things
• Link reliable and trust aware RPL routing protocol for Internet of Things
• The energy efficient cluster based routing in Internet of Things
• Optimizing Multipath Routing With Guaranteed Fault Tolerance in Internet of Things

Many people are not aware of this concept so you can choose for your project work and learn something new.

Big Data is a term to denote the large volume of data which is complex to handle. The data may be structured or unstructured. Structured data is an organized data while unstructured data is an unorganized data.  Big data  can be examined for the intuition that can give way to better decisions and schematic business moves. The definition of big data is termed in terms of three Vs. These vs are:

• Volume: Volume defines large volume of data from different sources
• Velocity: It refers to the speed with which the data is generated
• Variety: It refers to the varied amount of data both structured and unstructured.

Application areas:

BELOW IS THE LIST OF FEW LATEST AND TRENDING  RESEARCH TOPICS IN BIG DATA :-

• Privacy preserving big data publishing: a scalable k-anonymization approach using MapReduce.
• Nearest Neighbour Classification for High-Speed Big Data Streams Using Spark.
• Efficient and Rapid Machine Learning Algorithms for Big Data and Dynamic Varying Systems.
• Disease Prediction by Machine Learning Over Big Data From Healthcare Communities.
• A Parallel Multi-classification Algorithm for Big Data Using an Extreme Learning Machine.

Thus you can prepare your project report or thesis report on this.

Cloud Computing

Cloud Computing is a comparatively new technology. It is an internet-based service that creates a shared pool of resources for consumers. There are three service models of  cloud computing  namely:

• Software as a Service(SaaS)
• Platform as a Service(PaaS)
• Infrastructure as a Service(IaaS)

Characteristics of cloud computing are:

• On-demand self-service
• Broad network access
• Shared pool of resources
• Scalability
• Measured service

Below is the list of few latest and trending research topics in Cloud Computing :-

• To isolate the virtual side channel attack in cloud computing
• Enhancement in homomorphic encryption for key management and key sharing
• To overcome load balancing problem using weight based scheme in cloud computing
• To apply watermarking technique in cloud computing to enhance cloud data security
• To propose improvement green cloud computing to reduce fault in the network
• To apply stenography technique in cloud computing to enhance cloud data security
• To detect and isolate Zombie attack in cloud computing

The common examples of cloud computing include icloud from Apple, Google-based Services like Google Drive and many more. The field is very demanding and is growing day by day. You can focus on it if you have interest in innovation.

Semantic Web

Semantic Web is also referred to as Web 3.0 and is the next big thing in the field of communication. It is standardized by World Wide Web Consortium(W3C) to promote common data formats and exchange protocols over the web. It is machine-readable information based and is built on XML technology. It is an extension to Web 2.0. In the semantic web, the information is well defined to enable better cooperation between the computers and the people. In the semantic web, the data is interlinked for better understanding. It is different from traditional data sharing technologies.

It can be a good topic for your thesis or project.

MANET stands for mobile ad hoc network. It is an infrastructure-less network with mobile devices connected wirelessly and is self-configuring. It can change locations independently and can link to other devices through a wireless connection. Following are the various types of  MANETS :

• Vehicular ad hoc network(VANET)
• Smartphone ad-hoc network(SPANET)
• Internet-based mobile ad hoc network(iMANET)

You can use various simulation tools to study the functionality and working of MANET like OPNET,  NS2 , NETSIM, NS3 etc.

In MANET there is no need of central hub to receive and send messages. Instead, the nodes directly send packets to each other.

MANET finds its applications in the following areas:

• Environment sensors
• Vehicular ad hoc communication
• Road Safety

BELOW IS THE LIST OF FEW LATEST AND TRENDING RESEARCH TOPICS IN MANET :-

• Evaluate and propose scheme for the link recovery in mobile ad hoc networks
• To propose hybrid technique for path establishment using bio-inspired techniques in MANET’s
• To propose secure scheme for the isolation of black hole attack in mobile ad hoc networks
• To propose trust based mechanism for the isolation of wormhole attack in mobile ad hoc networks
• The novel approach for the congestion avoidance in mobile ad hoc networks
• To propose scheme for the detection of selective forwarding attack in mobile ad hoc networks
• To propose localization scheme which reduce faults in mobile ad hoc network
• The energy efficient scheme for multicasting routing in wireless ad hoc network
• The scheme for secure localization aided routing in wireless ad hoc networks
• The cross-layer scheme for opportunistic routing in mobile ad hoc networks

Just go for it if you have interest in the field of networking and make a project on it.

Machine Learning

It is also a relatively new concept in the field of computer science and is a technique of guiding computers to act in a certain way without programming. It makes use of certain complex algorithms to receive an input and predict an output for the same. There are three types of learning;

• Supervised learning
• Unsupervised learning
• Reinforcement learning

Machine Learning  is closely related to statistics. If you are good at statistics then you should opt this topic.

Data Mining

Data Mining is the process of identifying and establishing a relationship between large datasets for finding a solution to a problem through analysis of data. There are various tools and techniques in Data Mining which gives enterprises and organizations the ability to predict futuristic trends.  Data Mining  finds its application in various areas of research, statistics, genetics, and marketing. Following are the main techniques used in the process of Data Mining:

• Decision Trees
• Genetic Algorithm
• Induction method
• Artificial Neural Network
• Association

BELOW IS THE LIST OF FEW LATEST AND TRENDING RESEARCH TOPICS IN DATA MINING :-

• Performance enhancement of DBSCAN density based clustering algorithm in data mining
• The classification scheme for sentiment analysis of twitter data
• To increase accuracy of min-max k-mean clustering in Data mining
• To evaluate and improve apriori algorithm to reduce execution time for association rule generation
• The classification scheme for credit card fraud detection in Data mining
• To propose novel technique for the crime rate prediction in Data Mining
• To evaluate and propose heart disease prediction scheme in Data Mining
• Software defect prediction analysis using machine learning algorithms
• A new data clustering approach for data mining in large databases
• The diabetes prediction technique for Data mining using classification
• Novel Algorithm for the network traffic classification in Data Mining

Advantages of Data Mining

• Data Mining helps marketing and retail enterprises to study customer behavior.
• Organizations into banking and finance business can get information about customer’s historical data and financial activities.
• Data Mining help manufacturing units to detect faults in operational parameters.
• Data Mining also helps various governmental agencies to track record of financial activities to curb on criminal activities.

Disadvantages of Data Mining

• Privacy Issues
• Security Issues
• Information extracted from data mining can be misused
• Artificial Intelligence

Artificial Intelligence is the intelligence shown by  machines  and it deals with the study and creation of intelligent systems that can think and act like human beings. In  Artificial Intelligence , intelligent agents are studied that can perceive its environment and take actions according to its surrounding environment.

Goals of Artificial Intelligence

Following are the main goals of Artificial Intelligence:

• Creation of expert systems
• Implementation of human intelligence in machines
• Problem-solving through reasoning

Application of Artificial Intelligence

Following are the main applications of Artificial Intelligence:

• Expert Systems
• Natural Language Processing
• Artificial Neural Networks
• Fuzzy Logic Systems

Strong AI –  It is a type of artificial intelligence system with human thinking capabilities and can find a solution to an unfamiliar task.

Weak AI –  It is a type of artificial intelligence system specifically designed for a particular task. Apple’s Siri is an example of Weak AI.

Turing Test is used to check whether a system is intelligent or not. Machine Learning is a part of Artificial Intelligence. Following are the types of agents in Artificial Intelligence systems:

• Model-Based Reflex Agents
• Goal-Based Agents
• Utility-Based Agents
• Simple Reflex Agents

Natural Language Processing –  It is a method to communicate with the intelligent systems using human language. It is required to make intelligent systems work according to your instructions. There are two processes under Natural Language Processing – Natural Language Understanding, Natural Language Generation.

Natural Language Understanding involves creating useful representations from the natural language. Natural Language Generation involves steps like Lexical Analysis, Syntactic Analysis, Semantic Analysis, Integration and Pragmatic Analysis to generate meaningful information.

Image Processing

Image Processing is another field in Computer Science and a popular topic for a thesis in Computer Science. There are two types of image processing – Analog and Digital Image Processing. Digital Image Processing is the process of performing operations on digital images using computer-based algorithms to alter its features for enhancement or for other effects. Through Image Processing, essential information can be extracted from digital images. It is an important area of research in computer science. The techniques involved in image processing include transformation, classification, pattern recognition, filtering, image restoration and various other processes and techniques.

Main purpose of Image Processing

Following are the main purposes of  image processing :

• Visualization
• Image Restoration
• Image Retrieval
• Pattern Measurement
• Image Recognition

Applications of Image Processing

Following are the main applications of Image Processing:

• UV Imaging, Gamma Ray Imaging and CT scan in medical field
• Transmission and encoding
• Robot Vision
• Color Processing
• Pattern Recognition
• Video Processing

BELOW IS THE LIST OF FEW LATEST AND TRENDING RESEARCH TOPICS IN IMAGE PROCESSING :-

• To propose classification technique for plant disease detection in image processing
• The hybrid bio-inspired scheme for edge detection in image processing
• The HMM classification scheme for the cancer detection in image processing
• To propose efficient scheme for digital watermarking of images in image processing
• The propose block wise image compression scheme in image processing
• To propose and evaluate filter based on internal and external features of an image for image de noising
• To improve local mean filtering scheme for de noising of MRI images
• To propose image encryption base d on textural feature analysis and chaos method
• The classification scheme for the face spoof detection in image processing
• The automated scheme for the number plate detection in image processing

Bioinformatics

Bioinformatics is a field that uses various computational methods and software tools to analyze the biological data. In simple words, bioinformatics is the field that uses computer programming for biological studies. It is the current topic of research in computer science and is also a good topic of choice for the thesis. This field is a combination of computer science, biology, statistics, and mathematics. It uses image and signal processing techniques to extract useful information from a large amount of data. Following are the main applications of bioinformatics:

• It helps in observing mutations in the field of genetics
• It plays an important role in text mining and organization of biological data
• It helps to study the various aspects of genes like protein expression and regulation
• Genetic data can be compared using bioinformatics which will help in understanding molecular biology
• Simulation and modeling of DNA, RNA, and proteins can be done using bioinformatics tools

Quantum Computing

Quantum Computing is a computing technique in which computers known as quantum computers use the laws of quantum mechanics for processing information. Quantum Computers are different from digital electronic computers in the sense that these computers use quantum bits known as qubits for processing. A lot of experiments are being conducted to build a powerful quantum computer. Once developed, these computers will be able to solve complex computational problems which cannot be solved by classical computers. Quantum is the current and the latest topic for research and thesis in computer science.

Quantum Computers work on quantum algorithms like Simon’s algorithm to solve problems. Quantum Computing finds its application in the following areas:

The list is incomplete as there are a number of topics to choose from. But these are the trending fields these days. Whether you have any presentation, thesis project or a seminar you can choose any topic from these and prepare a good report.

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