Skip to main content

MSc Data Science (2 years)

Key information

Level
Postgraduate Taught
Delivery type
Full Time
Degree qualification
MSc
Mode of delivery
On-Campus
Duration
2 years
Location
Edinburgh
Start date
September

The MSc Data Science (2 years) programme equips you with the skills needed to extract valuable insights from vast datasets, making you an invaluable asset in any industry.  

This two-year programme offers an opportunity for graduates looking to transition to a new career path in Data Science yet coming from a background outside Computing. Whether your experience lies in Science, Technology, Mathematics or the Arts, this pathway programme is a rare opportunity to become well-versed in the advanced, challenging field of Data Science. 

Our programme imparts both the theory and practical skills necessary for the management and analysis of extensive, complex datasets, often referred to as 'Big Data.' You will acquire the expertise to model, store, and process these substantial datasets, employing the latest algorithms and techniques. The curriculum also encompasses contemporary methods and tools for visually exploring data. Furthermore, our range of optional modules offers you the chance to delve into closely related areas, further enriching your journey towards a successful career as a data scientist. 

Enhancements for Your Success 

At Heriot-Watt University, our MSc in Data Science programme empowers you with the most cutting-edge knowledge and practical skills required for a thriving career in data science. Here's what sets us apart: 

  • Excellence in Rankings: We take pride in our ranking as the 6th best in Scotland for Computer Science, according to The Complete University Guide 2022.  
  • Industry-Driven Employability: To ensure your success, we've actively collaborated with industry experts to understand precisely what employers are seeking in data scientists. We've meticulously integrated these insights into our programme, giving you a competitive edge during job interviews and setting you up for success from day one. 
  • Mastery of Essential Tools: In today's competitive job market, proficiency in key software tools like Python, R, SQL, and data visualisation is essential for data scientists. Our programme will equip you with mastery of these indispensable tools. 
  • Streamlined Synergy: Our revamped course structure promotes greater synergy between different subject areas like statistics, machine learning, and big data engineering. This holistic understanding will empower you to tackle complex data challenges with ease, enhancing your problem-solving capabilities. 

The National Robotarium  

Located on Heriot-Watt University’s Edinburgh campus, in partnership with The University of Edinburgh, the National Robotarium creates innovative solutions to global challenges, working directly with industry to test and develop robotic, AI and automated technologies and rapidly move pioneering research from lab to market. 

The National Robotarium fosters the teaching and development of the next generation of roboticists, producing highly skilled graduates who are trained to conduct world-leading research with a market focus, and developing programmes to equip the current and future workforce with robotics, data and programming skills. 

Your student experience

  • Heriot-Watt University boasts a distinguished history of over five decades dedicated to the research and teaching of Computer Science.  
  • World-Leading Faculty: Heriot-Watt University is known for its strong academic reputation, and this extends to its data science programs. In fact, many of our academics are qualified data scientists, with many years of experience working in this field. 
  • State-of-the-Art Labs: To facilitate hands-on learning, we have created state-of-the-art labs based in the Robotarium as well as at the GRID; including the Games & Design studio and the universities first VR labs. These resources are instrumental in providing students with a practical, real-world experience when working with authentic datasets and AI models.  
  • Cutting-Edge Research: The university is actively involved in data science research, contributing to the development of new techniques, tools, and strategies to combat emerging threats. This research informs the curriculum and keeps it up to date. 

Go Global

With Go Global, Heriot-Watt's global student programme, you can carry your studies to new places and experience new cultures, expanding your horizons on the way. You'll discover what it means to be a true global citizen and emerge prepared for wherever your career journey will take you.

Inter-Campus Transfer: Dubai

Discover new friends and places with an inter-campus transfer to Dubai.

Course content

September Intake - Edinburgh

Mandatory September

  • Software Engineering Foundations
  • Databases and Information Systems
  • Knowledge Management
  • Mathematical Tools for Data Science

Mandatory January

  • Advanced Software Engineering
  • Project Management
  • Sociotechnical and Soft Systems
  • e-Commerce Technology

Programme Video

Computer Science subject video (PG progs)

Fees and funding

/ intake tuition fees
StatusFull Time
UK£12,192
International£25,480
  • Status: Your residency status is usually defined as the country where you have been ordinarily resident for the three years before the start of your course.
  • International: 'International' includes applicants from European Union countries who do not hold Pre-Settled or Settled status in UK. (This does not include students from the Republic of Ireland - see above).

Additional information

Please note that fees are payable for each year of this two year MSc.

Year 2 Fees

Status Full Time
UK £10,528
International £19,816

 

Scholarships and bursaries

Postgraduate scholarships and bursaries

We aim to encourage well-qualified, ambitious students to study with us and we offer a wide variety of scholarships and bursaries to achieve this. Over £6 million worth of opportunities are available in fee and stipend scholarships, and more than 400 students benefit from this support.

View details

Entry requirements

We have standard entry requirements for all of our courses that you will have to meet.

A minimum of a 2:2 honours degree or non-UK equivalent in a subject area which includes some numeracy. Programming skills would be preferable but not essential, either through your degree or a short course. 

We welcome applications from international students and accept qualifications from around the world. Please refer to the entry requirements for your country for more details.

Why Heriot-Watt

We're the top university in Scotland for graduate outcomes which means that more of our graduates are employed or in postgraduate education than any other institution in the country and we ranked 5th in the UK.

We're also rated number one in the UK for CEO or MD roles, meaning more of our graduates go on to become CEOs or MDs than any other university in the whole of the UK. On top of that, we have beautiful campuses, across the globe, so you'll get a truly international education. Our Edinburgh Campus is home to Oriam, Scotland's National Sports Performance Centre combined with plenty of wellbeing resources, prioritising fitness and mental health for all students. Our Global Research Institutes look at solving real world issues such as climate change and saving our oceans as well as working on the next medical technological breakthrough and the future of AI and robots.

Employability

Potential career paths

  • Data Scientist: Collect, analyse, and interpret large data sets to identify trends and drive business decisions.
  • Data Engineer: Build infrastructure and pipelines for data collection, storage, and analysis.
  • Machine Learning Engineer: Develop and optimize machine learning models and algorithms.
  • Business Analyst: Analyse data to solve business problems and identify opportunities for improvement.
  • Data Journalist: Use data analysis and visualization to uncover and communicate impactful stories.
  • Research Scientist: Apply data science techniques to make new discoveries and advance scientific understanding.
  • Quantitative Analyst: Develop complex mathematical and statistical models to analyse risk and optimize business practices.

Student life

Explore facilities, and chat to staff and students

Contact our enquiries team

Contact us