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MSc Data Science and Analytics

Due to the ongoing Coronavirus pandemic, examinations may be replaced by an alternative form of assessment during the academic year 2020/2021. Please refer to the Programme Specification on these pages for further details.

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Institution code	H36
School of study	School of Engineering and Computer Science
Course length	Full Time, 1 Years Part Time, 3 Years
Location	University of Hertfordshire, Hatfield

Entry requirements

For admission to MSc Data Science and Analytics, 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).

About the course

The MSc in Data Science and Analytics utilises our strong international reputation for research in these areas. The expertise of our staff influences this course which explores current research and practice in data science and analytics, extending students’ 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 course is part of our Master's programme in Computer Science.

Why choose this course?

This MSc is available with an optional one-year industry placement.
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.
Sixty percent of our research impact in Computer Science and Informatics at the University of Hertfordshire has been rated at world-leading or internationally excellent in the Research Excellence Framework (REF) 2014.

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.

Level 7

Module	Credits	Compulsory/optional
Data Mining	15 Credits	Compulsory
Data Mining deals with the discovery of hidden knowledge, unexpected patterns and new rules from large databases. It is currently regarded as the key element of a much more elaborate process called Knowledge Discovery in Databases (KDD), which is closely linked to another important development - data warehousing. The combination of data warehousing, decision support, and data mining indicates an innovative and totally new approach to information management. Until now, information systems have been built and operated mainly to support the operational processes of an organisation. KDD views the information in an organisation in an entirely new way - as a strategic source of opportunity (Adriaans 1996).
Neural Networks and Machine Learning	30 Credits	Compulsory
A study of a selection of research topics centered around neural network theory and design, machine learning including supervised and unsupervised learning and some interesting applications, for example, data mining, biocomputation, evolutionary algorithms, neural networks as models of brain function in health, disease and development, and data visualization. Actual topics taught may vary from year to year.

Professional Accreditations

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.

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 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.

Work placement

This MSc is available with an optional one-year industry placement.

This offers you the opportunity to work for one year in a highly professional and stimulating environment. You will be a full time employee in a company earning a salary and will learn new skills that can't be taught at University. During the placement, you will be able to gain further insight into industrial practice that you can take forward into your individual project.
Fees and funding
Fees 2020
UK/EU Students

Full time
- £8925 for the 2020/2021 academic year
Part time
- £745 per 15 credits for the 2020/2021 academic year
International Students

Full time
- £14500 for the 2020/2021 academic year
Part time
- £1210 per 15 credits for the 2020/2021 academic year
*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

Read more about additional fees in the course fact sheet

Other financial support

Find out more about other financial support available to UK and EU students

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

Course fact sheets
MSc Data Science and Analytics	Download

Programme specifications
MSc Computer Science (Modular)	Download

Additional information
Sandwich placement or study abroad year	n/a
Applications open to international and EU students	Yes

International applicants

Apply through our international application portal

Home and EU applicants

Apply using the links below:

2020

Start Date	End Date	Link
23/09/2020	30/09/2021	Apply online (Full Time)
20/01/2021	31/05/2022	Apply online (Full Time)
23/09/2020	30/09/2021	Apply online (Part Time)
20/01/2021	31/01/2022	Apply online (Part Time)

2021

Start Date	End Date	Link
23/09/2021	30/09/2022	Apply online (Full Time)
20/01/2022	31/05/2023	Apply online (Full Time)
23/09/2021	30/09/2022	Apply online (Part Time)
20/01/2022	31/01/2023	Apply online (Part Time)

2022

Start Date	End Date	Link
23/09/2022	30/09/2023	Apply online (Full Time)
20/01/2023	31/05/2024	Apply online (Full Time)
23/09/2022	30/09/2023	Apply online (Part Time)
20/01/2023	31/01/2024	Apply online (Part Time)

Please note that some of the images and videos on our course pages may have been taken before social distancing rules in the UK came into force.

MSc Data Science and Analytics

About the course

Why choose this course?

What will I study?

Professional Accreditations

What job can I get?

Fees 2020

UK/EU Students

Full time

Part time

International Students