Data Science
Master of Data Science
Learning Mode
Full-time
Duration
1 Year
Start date
September
Qualification
MSc Data Science
Fees
£25,480
Location
Edinburgh, Scotland
About the Course
The Master of Data Science (MDS) is a graduate-level degree that focuses on equipping students with the advanced skills and knowledge required to analyze, interpret, and extract valuable insights from large datasets. In an increasingly data-driven world, organizations across various industries rely on data scientists to make informed decisions, optimize operations, and drive innovation.
Career prospects
95% of 2017 grads were employed or studying within six months; 85% held professional/managerial roles. Job roles: software developer, systems engineer, AI/ML engineer, network analyst, cybersecurity, data analyst, or research. Average starting salary around £25,000
Why choose Data Science at Herriot-Wat?
Industry Connected
Heriot-Watt links with global companies, offering internships, projects, and lectures in software, AI, and cybersecurity.
Global Opportunities
Campuses in the UK, Dubai, and Malaysia enable transfers, exchanges, and multicultural collaboration for global learning.
Professional Accreditation
BCS-accredited programs boost employability and provide pathways to Chartered status in computing and engineering worldwide.
Course Overview
Heriot-Watt University’s BSc (Hons) in Data Science is a cutting-edge program designed to equip students with essential skills in data analytics, machine learning, statistics, and programming. Blending computer science and mathematics, the course prepares graduates to extract meaningful insights from complex datasets. Students gain hands-on experience using real-world data, industry-standard tools, and undertake individual and group projects. The program emphasizes ethical data use, problem-solving, and critical thinking—skills highly sought after across sectors like finance, healthcare, and technology. With global study options and strong industry links, graduates are well-prepared for roles such as data analyst, data engineer, or AI specialist.
Course Duration
Length of the course
- 1 year full-time
Mode of Study for international students:
- Full-time
Course Curriculum
The BSc (Hons) Data Science at Heriot-Watt University offers a multidisciplinary curriculum combining mathematics, statistics, and computer science. Students begin with core subjects like programming, calculus, probability, and databases, then progress to advanced topics including machine learning, AI, statistical modelling, and big data analytics. The program emphasizes practical experience through team projects and a final-year honours dissertation. Optional modules allow for specialization, while professional development is embedded throughout. Graduates are equipped with analytical, technical, and problem-solving skills, preparing them for careers in data science, AI, finance, and technology sectors globally.
Admission Requirements
Entry Criteria
- Academic qualifications
- A-Levels: BBC including Mathematics
IB: 28 points (Maths at Higher Level 5)
BTEC: DDM in a relevant subject
Equivalent international qualifications accepted
Language Proficiency
Standard requirement:
IELTS 6.0 overall (no band below 5.5) or equivalent (e.g. TOEFL 78–92, PTE 54–62)
Fees and Funding
Tuition Fees:
£25,480 Per Year Full Time
Scholarships and Bursaries:
International Merit Scholarships: 25%–75% tuition fee discount for high-achieving students (Year 1 only).
Automatic Scholarships: £1,500–£3,000 per year based on academic performance.
Campus-Specific Awards: Additional scholarships available at Dubai and Malaysia campuses.
Other Support: Includes hardship bursaries and travel grants for eligible students.
Career Opportunities
Graduates are equipped with skills in programming, statistics, and machine learning, making them ideal candidates for Data Analytics roles in banks, governments, and health sectors, Machine Learning and AI development in tech firms, Business Intelligence and market forecasting and Postgraduate study in Data Science, AI, or related disciplines.
Contact Us
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