BSc (Hons) Computer Science
Course Summary
This programme covers all aspects of modern computer science and specialised computer science topics, laying foundations for student’s success in a rapidly changing environment. Students will develop a wide range of skills and knowledge areas such as mobile and web computing, data science, software engineering, software security and artificial intelligence.
Career Focused
- Graduates can pursue careers in software development, data analysis, artificial intelligence, computer graphics, and many other areas. They can work in various industries such as finance, healthcare, gaming, transportation, and education.
- Some specific job titles includes- Software developer, Data Scientist, Machine Learning Engineer, Database administrator, Cloud engineer and more.
- Developing Skills valued by Employers- To make sure you stand out to prospective employers, we employ expert academics who maintain close links with industry. In this way we can ensure that you leave us with the latest skills and knowledge that your chosen career requires.
- Skill Oriented Courses- We provide a number of skill specific courses in conjunction with industry partner.
This is the first item's accordion body. It is shown by default, until the collapse plugin adds the appropriate classes that we use to style each element. These classes control the overall appearance, as well as the showing and hiding via CSS transitions. You can modify any of this with custom CSS or overriding our default variables. It's also worth noting that just about any HTML can go within the
.accordion-body, though the transition does limit overflow.
This is the second item's accordion body. It is hidden by default, until the collapse plugin adds the appropriate classes that we use to style each element. These classes control the overall appearance, as well as the showing and hiding via CSS transitions. You can modify any of this with custom CSS or overriding our default variables. It's also worth noting that just about any HTML can go within the
.accordion-body, though the transition does limit overflow.
This is the third item's accordion body. It is hidden by default, until the collapse plugin adds the appropriate classes that we use to style each element. These classes control the overall appearance, as well as the showing and hiding via CSS transitions. You can modify any of this with custom CSS or overriding our default variables. It's also worth noting that just about any HTML can go within the
.accordion-body, though the transition does limit overflow.
Course Structure
| Semester I | |
| Module Title | Credit |
| Computer Systems and Networks | 20 |
| Introduction to Academic Practice | 20 |
| Foundation Mathematics | 20 |
| Semester II | |
| Module Title | Credit |
| Information Systems and Data Representation | 20 |
| Critical Thinking for Academic and Professional | 20 |
| Programming | 20 |
| Semester I | |
| Module Title | Credit |
| Trends in Computer Science | 20 |
| Computer Systems Fundamentals | 20 |
| Software Development I | 20 |
| Semester II | |
| Module Title | Credit |
| Web Design and Development | 20 |
| Mathematics for Computing | 20 |
| Software Development II | 20 |
| Semester I | |
| Module Title | Credit |
| Object Oriented Programming | 20 |
| Client-Server Architectures | 20 |
| Software Development Group Project | 20 |
| Database Systems | 20 |
| Semester II | |
| Module Title | Credit |
| Option I - Mobile and Web Computing Theme | |
| Server-side Web Development | 20 |
| Advanced Client-side Development | 20 |
| Option II- Data Science Theme | |
| Machine Learning and Data Mining | 20 |
| Applied Cryptography | 20 |
| Semester I | |
| Module Title | Credit |
| Final Year Project | 40 |
| Security and Forensics | 20 |
| Applied Artificial Intelligence | 20 |
| Semester II | |
| Module Title | Credit |
| Option I - Mobile and Web Computing Theme | |
| Mobile Native Application Development | 20 |
| Advanced Server-side Web Programming | 20 |
| Option II- Data Science Theme (choose any two modules) | |
| Operational Research and Optimisation | 20 |
| Data Visualisation and Dashboarding | 20 |
| Internet of Things | 20 |
Note: Students are required to choose one option theme from above list at Level 6
Entry Requirements
Academic Level
- Higher Secondary Education Board (HSEB)-10+2/CBSE with 55% (GPA 2.4) or equivalent
- For A Levels, a minimum of 3.5 credits with 3 full credits*
*Any other qualification must be approved by the Course Leader before being accepted