BSc (Hons) Artificial Intelligence

The Bachelor of Science (Hons) Artificial Intelligence degree, awarded by Anglia Ruskin University, has been developed with due consideration given to industry standards, both local and international. Its design is based on the rapidly expanding field of Artificial Intelligence and its diverse applications.

This course aims to equip students with the necessary skills to work in the development and application of artificial intelligence, while also building a strong foundation in core computer science areas such as programming, computer systems, databases, and digital security. The Artificial Intelligence curriculum is designed to be highly relevant to the industry, incorporating insights from local industry links to foster collaborative project work, placements, and employment opportunities.

Study Pathways

Transfer options to UK at the end of the 1st year or 2nd year and complete the degree in UK.

Special Remarks

Degree Programme is Recognized by the UGC.

Course Type

Full Time

Course Commencement Dates

September 2025

Duration

3 years

Course Modules

Year 1

MOD003212

Introduction to Programming (30 credits)

MOD002580

Computer Systems (30 credits)

MOD006560

Computer Modelling and Simulation (15 credits)

MOD006558

Fundamentals of Artificial Intelligence (15 credits)

MOD006559

Introduction to Mathematical Techniques for Artificial Intelligence (30 credits)

MOD999930

Into ARU (0 credits)
Year 2

MOD002589

Database Design and Implementation (15 credits)

MOD003263

Database Design and Implementation (15 credits)

MOD003263

Advanced Analytical Techniques for Artificial Intelligence (15 credits)

MOD006562

Machine Learning (15 credits)

MOD006561

Artificial Neural Networks (15 credits)

MOD007357

Algorithm Analysis and Data Structures (15 credits)

Ruskin Module (15 credits)
Year 3

MOD002691

Final Project (30 credits)

MOD006564

AI Techniques (Fuzzy Logic and Genetic Algorithms) (15 credits)

MOD002647

Professional Issues: Computing and Society (15 credits)

MOD006565

Deep Learning (15 credits)

MOD006125

Cloud Computing (15 credits)

MOD002643

Image Processing (15 credits)
OPTIONAL MODULES

MOD006128

Distributed Programming (15 credits)

Entry Requirements

  • GCE Advance Level (A/L) (Sri Lanka) minimum grades of three “S” passes from any subject stream or
  • Advance Level minimum of 3D passes (London)
  • CINEC STEM Foundation Programme or
  • Any other qualification equivalent to UK Level 3 acceptable to UoW

AND

English Language requirement namely,

  • Minimum grade C (Credit Pass) in English at the Sri Lankan O-levels Certificate (or equivalent)
  • Minimum grade S (Simple Pass) for General English paper at the Sri Lankan Advance Level Examination
  • Any qualification internationally recognised as being at/equivalent to UK Level 3 or above which has been delivered and assessed in English.
  • An IELTS overall score of 6.0 or above with individual scores of 5.5 or above
  • PTE minimum score of 51
  • A pass in the Cambridge Advanced English examination (CAE)
  • A pass in the Cambridge Proficiency examination (CPE)

Full UK-accredited GCSE or GCE in English Language grade C or above

Job Opportunities

This course is designed for those students who want to build the necessary skills to work in development and applications of artificial intelligence while acquiring solid grounds in those areas of computer science – programming, computer systems, databases, digital security – that are relevant for this field. Links with local industry, both formal and informal, strengthen and influence the design and delivery of the course and lead to collaborative project work, placements and employment. As well as studying the essential modules related to artificial intelligence, students also develop the skills needed to function in industry.

There are two levels of project work, encouraging design-based activity and encompassing all the necessary aspects of project management, research and interpretation of information, report writing and presentation of completed project work.

Specific modules and areas where key subjects and generic skills are taught include legal, social, ethical and professional issues (LSEPI) in personal development planning, “Professional Issues, Computing and Society” and the final dissertation. Teamwork, business requirements, project life cycles, report writing, meeting deadlines and task planning are found in several modules including “Introduction to Programming” and “Software Engineering” and often go on to be applied by students in their final project. This means students can rehearse and develop these skills in a less daunting environment than they usually afforded later in their career.

Benefits: (Professional or academic edge they receive through the programme)

  • Apply for the Membership of the Professional Bodies such as BCS, The Chartered Institute for IT.
  • Ability to Pursue master’s degrees in SE, AI, CS, IT.

Course Fee:

Rs. 1,200,000/- +

Registration Fee: Rs.100,000+

Royalty Fee: 1500 GBP {500 GBP x 3 (500 GBP Annually)}

 

Payment Plan:

Annual: Rs. 400,000/- x 03

Semester: Rs. 200,000/- x 06,

Monthly: Rs. 40,000/- x 30

Royalty Fee: 500 GBP x 3 (Annually)

Discounts:

Open Day discounts