How to choose between Bath’s online Computer Science and Artificial Intelligence postgraduate courses
Choosing between postgraduate courses in Computer Science and Artificial Intelligence can be difficult, especially when both lead into areas of technology with strong career potential.
Considering the buzz and innovations surrounding AI, it may seem like the obvious course to go for, but a postgraduate degree in Computer Science can be equally valuable. It provides a broader, more versatile foundation that prepares you for a wider range of technical, analytical, and digital roles. The University of Bath helps you build your expertise in these high-growth areas with two rigorous and career-focused online MSc courses. When choosing a course, consider which one genuinely fits your skills, confidence in Maths and programming, and long-term plans.
In this guide, we explore the key differences between the University of Bath’s Online MSc in Computer Science and Online MSc in Artificial Intelligence, explain who they are best suited for, and help you make an informed decision.
What are the key differences between the Online MSc Computer Science and Online MSc Artificial Intelligence at Bath?
Area | Computer Science | Artificial Intelligence |
Focus | Think like a computer scientist and future-proof your career by building a broad foundation in computing. | Specialise in AI to drive innovative applications in real-world contexts. |
Structure | Covers multiple areas of computing. | Deep focus on AI-related topics. |
Programming | Principles and techniques explored through languages such as C, Java, or Python that can be applied to solving a variety of problems and learning new languages as needed in your career. | Focus on Python with exposure to libraries that can be used to solve AI problems. Develop practical experience by applying these tools for tasks such as data analysis, machine learning, and natural language processing. |
Learning style | Progressive and structured. | Faster transition into specialised topics. |
Entry expectations | Open to varied academic backgrounds; 2:2 or above required. Strong mathematics skills required. | Open to varied academic backgrounds; 2:1 or above required. Strong mathematics skills required. |
Career pathways | Broad range of roles like full-stack developer, cybersecurity specialist, IT consultant, and more. | Applying AI for innovation across sectors and roles like AI solutions architect, robotics developer, data scientist, and more. |
Best for | Exploring computing or career flexibility. | Clear interest in AI and data-driven fields. |
Structure and focus
One of the most important differences between Computer Science and Artificial Intelligence lies in how knowledge is structured and developed across the course.
3 things you’ll focus on in the online MSc Computer Science from the University of Bath
- Broad computing knowledge: Build a foundation across multiple areas of computing.
- Transferable technical skills: Learn principles you can apply across different technologies, roles and sectors.
- Career flexibility: Develop a broad skill set if you’re still deciding where you want to specialise.
3 things you’ll focus on in the online MSc Artificial Intelligence from the University of Bath
- AI and machine learning: Study intelligent systems and machine learning in greater depth.
- Data-driven problem solving: Apply AI to advanced technical problems and real-world contexts.
- Specialist knowledge: Go deeper into AI if you already know this is where you want to focus your career.
Which Bath online MSc is right for you?
Your academic background, confidence with mathematics and the kind of technical depth you want can help you decide.
Computer Science could suit you if you:
- Come from a non-Computer Science background.
- Want to build your computing knowledge progressively.
- Have strong mathematics skills but limited formal programming experience.
- Want to keep your options open across different areas of technology.
The MSc Computer Science requires a 2:2 or above and strong mathematics skills. If you completed a bachelor’s degree in Computer Science within the last 9 years, the course may not be suitable for you.
Artificial Intelligence could suit you if you:
- Have a strong mathematics or quantitative background.
- Enjoy mathematical and algorithmic thinking.
- Want to specialise in AI and data-driven technologies.
- Are ready for focused, technically demanding study.
The MSc Artificial Intelligence requires a 2:1 or above and strong mathematics skills. No prior programming experience is expected.
Programming languages and technical focus
While both Computer Science and Artificial Intelligence courses develop strong coding capabilities, they do so with different objectives in mind.
Computer Science: breadth across languages
- Work with languages such as C, Java, Python and SQL.
- Learn programming and computational problem-solving principles that can transfer to other languages.
- Build flexibility to work with different technologies throughout your career.
Artificial Intelligence: a deeper focus on Python
- Use Python as the primary programming language.
- Work with Python libraries used to solve AI and machine learning problems.
- Apply your programming to areas including data analysis, machine learning and natural language processing.
What level of technical challenge should you expect?
Both courses are academically rigorous. The difference is in how quickly and deeply you move into specialist material.
Computer Science: build progressively
- Move into complex computing concepts through a structured progression.
- Build your technical knowledge and confidence as the course develops.
- Suits learners who are newer to formal Computer Science as well as those balancing study with other commitments.
Artificial Intelligence: specialise earlier
- Move more quickly into advanced and abstract concepts.
- Work with mathematically demanding material from early in the course.
- Go deeper into specialist AI topics if you already have the quantitative background to support that study.
Career outcomes
The different focus areas of Computer Science and Artificial Intelligence also influence the range and nature of career pathways available after graduation.
Computer Science gives you broader options
- Programming, software engineering and systems development
- Technology and business analysis
- Technology management
- Digital transformation and innovation
The broader computing foundation can be useful if you want the flexibility to move between roles or industries over time.
Artificial Intelligence takes you towards specialist roles
- Machine learning engineer
- AI specialist
- Data-focused technical roles
- AI and analytics research
These skills can be applied in fields including data science, financial technology, robotics and advanced engineering.
Choosing the right course for you
Both the Online MSc Computer Science and the Online MSc Artificial Intelligence at the University of Bath are academically rigorous and professionally relevant. The right choice depends on how you prefer to learn and the kind of career flexibility you want.
You may find Computer Science is the better fit if you:
- Want a broad foundation in computing to future-proof your tech career
- Prefer a structured progression into advanced topics
- Have strong Maths skills and value flexibility across tech roles and sectors
You may find Artificial Intelligence more suitable if you:
- Are committed to a specialist, AI-focused career path
- Have an interest in coding and confidence in mathematical reasoning
- Already have a strong quantitative or computing background
Taking the time to choose the course that aligns with your strengths and ambitions is an important step toward a rewarding postgraduate learning experience. Our admissions team is here to help you explore both options and understand which course is the best fit for your goals and experience. If you'd like personalised advice or have questions about the course, our team is ready to support you!