MSc Data Science and Analytics with Advanced Research
Why choose Herts?
- Industry Accreditation: BCS accreditation will be sought once this award has its first group of graduates in 2020.
- Work Placement Opportunities: You have a one-year industry placement option enabling you to gain real industry experience.
- Employment Prospects: Graduates in our department are now data scientists, data engineers, and data analytics consultants working for organisations including BT, IBM, and Microsoft.
Entry requirements and key information
For admission to MSc Data Science and Analytics with Advanced Research, the normal requirement is a good Honours Degree (or equivalent) in computer science or cognate discipline. The choice of award title students may be accepted on to will be determined by the award applied for and the prior learning of the student as demonstrated by the transcript for existing qualifications held by the applicant.
Applicants whose first language is not English must demonstrate sufficient competence in English to benefit from the Programme. This is normally demonstrated by recognised awards equivalent to an overall IELTS score of 6.0. Candidates who do not satisfy these requirements will be considered on a case-by-case basis.
The programme is subject to the University's Principles, Policies and Regulations for the Admission of Students to Undergraduate and Taught Postgraduate Programmes (in UPR SA03), along with associated procedures. These will take account of University policy and guidelines for assessing accredited prior certificated learning (APCL) and accredited prior experiential learning (APEL).
School of study
School of Physics, Engineering and Computer Science
- Full Time, 2 Years
- Full Time, 24 Months
- University of Hertfordshire, Hatfield
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What job can I get?
Our master's programme is designed to give Computer Science graduates the specialist, up-to-date skills and knowledge sought after by employers, whether in business, industry, government or research.
The MSc Data Science and Analytics with Advanced Research course will equip students with the knowledge and practical skills in data science and analytics from the foundations of data science in mathematics and programming, data mining, machine learning, to data analytics applications.
Successful graduates may pursue a career as a data scientist or data engineer, data analytics consultant, digital marketing manager across a wide range of sectors.
This new version of the programme has been carefully designed to achieve appropriate levels of accreditation, and BCS accreditation will be sought after the award title has its first group of graduates in 2020.
About the course
The School has a strong international reputation for research in this area and this expertise influences this course which explores current research and practice in data science and analytics, extending your knowledge and understanding of the principles and practice of obtaining data from various sources, the essential methods for pre-processing and cleaning data, data analytics and modelling. This MSc can lead to a career such as a data scientist.
Graduates obtaining this award will be equipped to pursue research to PhD level, or to enter specialist employment in technically advanced and unpredictable working environments requiring sound judgment and the exercise of personal responsibility and initiative.
Why choose this course?
- The award gives you the opportunity to study advanced research topics in computer science, normally across multiple specialisms, and comprehensive research methods, and to undertake an extended masters project on a cutting-edge research topic.
- One of a range of advanced courses within our postgraduate Master's programme in Computer Science, this particular course provides you with a specialism in Data Science and Analytics.
- Advanced topics studied include mathematics and programming of data science, data mining, machine learning and neural artificis, and data analytics applications.
- Taught by a highly-regarded and long-established computer science department.
- Computer Science saw 90% of its research ranked as world-leading (Research Excellence Framework, 2022).
What will I study?
Classes consist of lectures, small group seminars, and practical work in our well-equipped laboratories. We use modern, industry-standard software wherever possible. There are specialist facilities for networking and multimedia and a project laboratory especially for masters students. In addition to scheduled classes, you will be expected a significant amount of time in self-study, taking advantage of the extensive and up-to-date facilities. These include the Learning Resource Centres, open 24x7, with 1,500 computer workstations and wifi access, Studynet our versatile online study environment usable on and off campus, and open access to our labs.
Where will I study?
Learn in our brand-new School of Physics, Engineering and Computer Science building, opening in 2024, where you’ll experience a range of experiential learning zones.
The computer science labs are home to telecommunications, robotics and UX empathy labs, with a variety of research spaces that range from dark rooms to clean rooms, and sample prep labs to calibration and assembly labs.
You will also benefit from a Success and Skills Support Unit, which is aimed at helping you build your employability and academic skills. Plus, have access to industry mentors who will provide you with pastoral support, vocational guidance, and career progression opportunities.
The new building will also provide space to collaborate, with plenty of workshops, social and meeting spaces available. Even better, the building has been designed with the University’s net zero carbon target in mind, and forms part of our plan to replace or upgrade older sites that are energy inefficient.
|Data Mining||15 Credits||Compulsory|
|Neural Networks and Machine Learning||30 Credits||Compulsory|
|Foundations of Data Science||30 Credits||Compulsory|
|Applied Data Science and Analytics||15 Credits||Compulsory|
|Data Science and Analytics Masters Project||60 Credits||Compulsory|
|Team Research and Development Project||15 Credits||Compulsory|
|Legal and Ethical Practice Exercise||15 Credits||Compulsory|
|Advanced Research Topics in Computer Science||30 Credits||Compulsory|
|Research Methods||30 Credits||Compulsory|
Further course information
|Course fact sheets|
|MSc Data Science and Analytics with Advanced Research||Download|
|MSc Computer Science (Modular) with Advanced Research||Download|
Sandwich placement or study abroad year
Applications open to international and EU students
At the University of Hertfordshire, we want to make sure your time studying with us is as stress-free and rewarding as possible. We offer a range of support services including; student wellbeing, academic support, accommodation and childcare to ensure that you make the most of your time at Herts and can focus on studying and having fun.
Find out about how we support our students
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Funding and fees
Other financial support
Find out more about other financial support available to UK and EU students
- £9900 for 2023/2024 and 2024/2025 inclusive
- £17950 for 2023/2024 and 2024/2025 inclusive
- £17950 for 2023/2024 and 2024/2025 inclusive
*Tuition fees are charged annually. The fees quoted above are for the specified year(s) only. Fees may be higher in future years, for both new and continuing students. Please see the University's Fees and Finance Policy (and in particular the section headed "When tuition fees change"), for further information about when and by how much the University may increase its fees for future years.
View detailed information about tuition fees
Living costs / accommodation
The University of Hertfordshire offers a great choice of student accommodation, on campus or nearby in the local area, to suit every student budget.
View detailed information about our accommodation
How to apply
Start Date End Date Link 23/09/2023 31/05/2024 Apply online (Full Time) 20/01/2024 30/09/2024 Apply online (Full Time)
Start Date End Date Link 23/09/2024 31/05/2025 Apply online (Full Time) 20/01/2025 30/09/2025 Apply online (Full Time)