Taught course

Big Data

Institution
University of Stirling · Faculty of Natural Sciences
Qualifications
MSc

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Entry requirements

A minimum of a second class honours degree or equivalent in a numerate subject such as maths, computing, engineering or an analytic science. Applicants without these formal qualifications but with significant appropriate work experience are encouraged to apply.

Other routes of entry

If you don’t currently meet the academic requirements for this course, INTO University of Stirling offers a variety of preparation programmes that can earn you the qualifications and skills you need for direct entry.

Explore INTO Stirling programmes to see the pathway and pre-masters routes available for this course and others at the University of Stirling.

Months of entry

January, September

Course content

Big data is increasingly important in today’s commercial landscape. As a data scientist specialising in big data, you’ll help companies make sense of large amounts of structured and unstructured data, providing rapid insights that enable them to make better, quicker decisions.

The MSc Big Data is a taught advanced Masters degree covering the technology of Big Data and the science of data analytics. You’ll gain practical skills in big data technology, advanced analytics and industrial and scientific applications.

The course will teach you how to collect, manage and analyse big, fast moving data for science or commerce. You’ll learn skills in cutting-edge technology such as Data Analytics, R, Hadoop, NoSQL and Machine Learning. At the same time, you’ll delve into important maths and computing theory, and learn the advanced computational techniques you need to develop your career in data science.

Our MSc has been developed in partnership with global and local companies who employ data scientists. Since the course was launched in 2012 we have developed a great relationship with employers who are looking for the skills that we teach.

The University of Stirling is associated with The Data Lab, an Innovation Centre that aims to develop the data science talent and skills required by industry in Scotland. It also supports our students with funding, networking and routes into employment. We also have close links with the Scottish Informatics and Computing Science Alliance (SICSA).

As a graduate in Big Data you’ll be able to work in a wide range of sectors such as digital technologies, energy and utilities, financial services, public sector and healthcare.

Scotland is a growing and dynamic country with an exciting future at the heart of the data science revolution. £661 million invested in vision of turning capital city into the ‘Data Capital of Europe’ (Source: Scottish Development International).

Information for international students

If English is not your first language you must have one of the following qualifications as evidence of your English language skills:

  • IELTS Indicator 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
  • Cambridge C2 Proficiency (CPE) 180 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
  • IBT TOEFL Special Home Edition Test 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
  • Duolingo 95 overall with a minimum of 90 in all sub-skills
  • LanguageCert International ESOL B2 Communicator - Pass with minimum 33 in each sub-skill

If you are from India, Bangladesh, Ghana or Nigeria please also check your country/region specific page for any additional, or changes to, English language requirements.

For more information on ways that you can meet our English language requirements, including options to waive the requirement, please read our information on English language requirements.

Qualification, course duration and attendance options

  • MSc
    part time
    24 months
    • Campus-based learningis available for this qualification
    full time
    12 months
    • Campus-based learningis available for this qualification

MSc students complete two taught semesters and a three month project/dissertation. Alternatively, the PgDip may be awarded after two taught semesters, or the PgCert if not all modules are passed. Part-time study is also available, with the taught part of the programme being taken over four semesters.

Assessment

AssessmentWhat kind of work will I be doing? (proportionally)
Written/ formal examinations33
Written coursework / continuous assessment33
Dissertation33 (15000 words)

Course contact details

Name
University of Stirling
Email
study@stir.ac.uk