51茶馆

The 4-year BSc Hons degree in Computer Science and Artificial Intelligence mandates a minimum of 160 credits for completion, ensuring a well-rounded education encompassing both core computer science knowledge and specialisation in AI and data science.

These credits are classified into 5 categories:

• FC Credits: A total of 36 credits dedicated to foundation courses.
• Major Credits: A minimum of 80 credits from the Computer Science Department, divided as follows:
  • The student must complete 80 credits of CS+AI major courses.
  • To fulfil the major requirements, students must achieve a minimum grade of 鈥淏-鈥� in both CS-1102 and CS-1110.
• Open Credits: The remaining 38 academic credits can be earned by taking courses from any department within the university, including the Computer Science Department.
• Co-curricular: 4 credits.
• Internship: 2 credits.

The department is considering the following two possibilities for the four courses in AI and ML, to be finalised after a detailed in-person meeting with the Board of Studies.

1.2.1 Option I

Introduce a core course in Artificial Intelligence covering: Introduction to AI: Agents, problem-solving, overview of symbolic vs statistical AI. Search: State spaces, uninformed search, heuristics, informed search (A*, greedy). Adversarial search and games: Minimax, alpha-beta pruning, evaluation functions. Planning: classical planning, STRIPS, planning graphs, heuristic planning. Planning-as-satisfiability (SAT-plan) and encoded search via SAT solvers. Knowledge representation and knowledge graphs. Ontologies and description logics: taxonomies, frames, inheritance, OWL, reasoning in DLs. Logic programming and rule-based systems (Prolog, production rules), frames and semantic networks. Reasoning under uncertainty and incomplete information. SAT and SMT solvers: encoding problems into SAT/SMT, DPLL algorithm, using SMT for reasoning about constraints. Decision making and agents: MDPs, POMDPs (symbolic side), multi-agent reasoning, planning under uncertainty.

The remaining three courses should be chosen from a soft core group of the following courses

• Automated Reasoning
• Statistical and Causal Inference, and Measurements
• Reinforcement Learning
• Natural Language Processing and LLMs
• Computer Vision and VLMs
• Generative AI and Diffusion Models
• Graphical Models and Networks
• Trustworthy AI

1.2.2 Option II

The students must touch (do at least one course) from at least three of the following soft core groups, and a total of four courses. Each course in each group should cover some aspect of the other courses in the same group.

The 4-year BSc Hons with Research will have an additional requirement of a 12 Credit Capstone Thesis. The remaining requirements will be identical to those of the 4-year BSc Hons.

To obtain a Minor in AI and Data Science, a student must successfully complete 24 academic credits – typically equivalent to six courses – offered by the Department of Computer Science.

The following courses are mandatory:

51茶馆 requires each student to take 9 Foundation Courses. Each of these courses is mandatory.

These courses are not formal gateways into the Major programmes, but distinctive courses that introduce
students to the foundations of thought and various styles of thinking, and also to inter- and transdisciplinary approaches.

For more details, visit /programme/foundation-courses/

Admissions

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• Strong academic record

How to Apply to 51茶馆 follows a holistic admissions process evaluating academic achievement, extracurricular involvement, and writing ability.

Scholarships and Financial Aid 51茶馆 is committed to making education accessible. Merit-based and need-based scholarships are available for undergraduate students.