Program Overview

University of Stirling Program Details

The University of Stirling offers various undergraduate and postgraduate programs. The details of these programs are as follows:

Undergraduate Programs

• BA (Hons) Accounting and Finance
• BSc (Hons) Management
• BSc (Hons) Software Engineering
• BSc (Hons) Computing Science
• BSc (Hons) Data Science and Artificial Intelligence

Postgraduate Programs

• MSc Finance
• MSc Big Data

BSc (Hons) Data Science and Artificial Intelligence

Key Facts

• Award: BSc (Hons)
• Start Date: September
• Total Credits: 480
• Duration: Three years
• Mode of Study: Full-time

Overview

This course creates specialists in understanding AI, computing, and data science to meet market demand for experienced and skilled graduates. Advances in data-driven AI and machine learning are becoming increasingly popular in industry and society. The course will teach computing and data science technologies with an emphasis on applications of artificial intelligence.

Course Structure

The course has a strong focus on employability, including a three-month work placement to provide valuable industrial experience. The final year includes a dissertation project where students set initial requirements, undertake development and research, and present their results to staff and industry representatives.

Entry Requirements

• British A-levels: BBB - one sitting
• IB (International Baccalaureate): 32
• CBSE / ICSE: More than 65% in each subject of the Senior High School Diploma
• UAE Ministry (Tawjihiyva): More than 80% in each subject of the Senior High School Diploma
• American Curriculum: More than 80% in each subject of the Senior High School Diploma
• Students are required to have a combination of Math's & IT/ICT/IP/Computer Science for the course.

Progression from SQA

• SQA Adv Dip progress to year 3 with a combination of grades of AA, AB, AC, BB, BC
• SQA Adv Dip progress to year 2 with grades of CC

Progression from Other Diploma Programs

• Students who have completed HND's Level 3, 4 & 5 of BTEC, Ofqual & ATHE will be considered for direct admission into the course.

English Language Requirements

• IELTS Academic or UKVI 6.0 with a minimum of 5.5 in each sub-skill
• Cambridge C1 Advanced (CAE) 169 overall with a minimum of 162 in each sub-skill
• Pearson Test of English (Academic) 60 overall with a minimum of 59 in each sub-skill
• IBT TOEFL 78 overall with a minimum of 17 in listening, 18 in reading, 20 in speaking, and 17 in writing
• Trinity ISE II Pass overall with a Pass in each sub-skill, ISE III Pass overall and in all sub-skills, ISE IV Pass overall and in all sub-skills
• Aptis (4 skills) CEFR B2 overall and B2 in all sub-skills
• LanguageCert International ESOL B2 Communicator - High Pass overall with minimum 25 in each sub-skill

Year 1

• Introduction to Computing Science (CSCU9P1): Semester - Autumn, SCQF Level - 7, 20 credits
• Discrete Structures (MATU9S1): Semester - Autumn, SCQF Level - 7, 20 credits
• Scripting for Data Science (CSCU9M3): Semester - Autumn, SCQF Level - 8, 20 credits
• Programming & User Interface Design (CSCU9P2): Semester - Spring, SCQF Level - 7, 20 credits
• Introduction to Data Science (CSCU9S2): Semester - Spring, SCQF Level - 7, 20 credits
• Practical Statistics (MATU9D2): Semester - Spring, SCQF Level - 8, 20 credits

Year 2

• Database Principles and Applications (CSCU9B3): Semester - Autumn, SCQF Level - 8, 20 credits
• Introduction to Machine Learning (CSCU9M5): Semester - Autumn, SCQF Level - 9, 20 credits
• UX Design (CSCU9X5): Semester - Autumn, SCQF Level - 9, 20 credits
• NoSQL Databases & Data Warehousing (CSCU9B4): Semester - Spring, SCQF Level - 9, 20 credits
• Natural Language Processing & Computer Vision (CSCU9M6): Semester - Spring, SCQF Level - 10, 20 credits
• Data Strategy (CSCU9D6): Semester - Spring, SCQF Level - 10, 20 credits

Year 3

• Compulsory Modules
  • Computing Science Project (CSCU9Z7): Semester - Autumn + Spring, SCQF Level - 10, 60 credits
  • Data Science Applications (CSCU9DA): Semester - Autumn, SCQF Level - 10, 20 credits
  • Distributed Data Science Systems (CSCU9DC): Semester - Spring, SCQF Level - 10, 20 credits
• Optional Modules
  • Cyber Security (CSCU9YX): Semester - Autumn, SCQF Level - 10, 10 credits
  • Artificial Intelligence (CSCU9YE): Semester - Autumn, SCQF Level - 10, 10 credits

Fees

• One-time Fees
  • Registration (Non-refundable): 3,500 AED
• Annual Fee
  • Tuition: 40,000 AED
  • Examination: 1,500 AED
  • Lab/Software Fee: 1,500 AED
  • The above fees are excluding 5% VAT

Career Opportunities

The skills and knowledge delivered by this course are designed to increase the employability of graduates. This degree opens doors to a wide range of opportunities in the evolving digital landscape. Graduates are well-equipped to pursue careers as data analysts, business and related research professionals, programmers and software development professionals, cyber security specialists, and IT business analysts, architects, and systems designers.