Studyportals

Data Analytics (with Professional Experience)

University of Portsmouth

M.Sc.
18 months
Duration
10933 EUR/year
5200 EUR/year
Unknown
Tuition fee
Anytime
Unknown
Apply date
Unknown
Start date

About

On this MSc Data Analytics (with Professional Experience) degree course, you'll combine a 6-month work placement or a professional experience module with taught modules that develop your skills in data analysis, and the application and management of big data. You'll see how you can apply data analytics tools in emerging technologies using the UK's only university-based SAP Next Gen Lab.

Visit the official programme website for more information

Overview

When you complete the course successfully, your Master's degree and professional experience could lead to career opportunities in areas such as data science and engineering, financial data analytics, social media analysis, political data analysis and cybersecurity.

What you'll experience

On this Data Analytics (with Professional Experience) MSc degree you'll:

  • Use the UK's only university-based SAP Next Gen Lab, featuring the world's leading cloud-based business software
  • Work on your technological and technical abilities
  • Build your previous studies and experience to postgraduate level
  • Master the big data and data mining tools you need for your career such as Python, R and machine learning
  • Analyse data from the University's original research in cosmology, health informatics and cybersecurity
  • Develop your knowledge of applied data analytics and engineering, big data, business intelligence, and advanced data management
  • Engage with important topics, such as the use of emerging technologies in data mining, business intelligence, machine learning and big data
  • Plan and develop an in-depth research project, using your analytical skills to demonstrate understanding beyond taught material
Careers and opportunities

Data is a big source of economic value to businesses, government and individuals and the ability to analyse big data is expected to be one of the most sought-after skills over the next few decades. So this Master's in Data Analytics can significantly improve your career prospects.

In addition, this course focuses on your application and use of the latest data analytics and mining tools while on a professional experience placement. This adds to the tools and techniques you'll develop during workshops in our SAP Next Gen Lab and on our supercomputer.

When you finish the course, our Careers and Employability service can help you find a job that puts your skills to work. You can get help, advice and support from our Careers and Employability service for up to 5 years after you leave the University as you advance in your career.

What can you do with a Master's in Data Analytics?

Previous graduates have gone on to work in areas including:

  • data science and engineering
  • business intelligence
  • programming
  • financial data analytics
  • cybersecurity data scientist/analyst
  • health care informatics
  • social media analysis
  • political data analysis

You can also use your Data Analytics MSc to get entry to higher-level professional qualifications such as British Computer Society accreditation.

Programme Structure

On this Master's degree in Data Analytics course, you'll study modules worth 190 credits.

The core modules are:

  • Applied data and text analytics
  • Big data applications
  • Business intelligence
  • Data management
  • Master's engineering or study project

There are no optional modules on this course.

We use the best and most current research and professional practice alongside feedback from our students to make sure course content is relevant to your future career or further studies.

Therefore, some course content may change over time to reflect changes in the discipline or industry.

Key information

Duration

  • Full-time
    • 18 months

Start dates & application deadlines

Language

English
IELTS or TOEFL needed

Credits

190 alternative credits

Delivered

On Campus

Academic requirements

GPA admission requirements GPA Your GPA, or Grade Point Average, is a number that indicates how well or how high you scored in your courses on average. Usually a GPA scales between 1.0 and 4.0, however different countries and universities can have different grading systems.
GRE admission requirements GRE® The GRE® General Test is a widely administered admissions test that measures the skills needed in today's graduate and business school programs worldwide. It contains three sections - Verbal Reasoning, Quantitative Reasoning, and Analytical Writing. Three scores are reported: a Verbal Reasoning score on a 130 - 170 score scale in one-point increments, a Quantitative Reasoning score on a 130 - 170 score scale in one-point increments, and an Analytical Writing score on a 0 - 6 score scale in half-point increments.
GMAT admission requirements GMAT The Graduate Management Admission Test (GMAT) is a test intended to assess certain analytical, writing, quantitative, verbal, and reading skills in written English for use in admission to a graduate management program, such as an MBA. GMAT contains 4 sections - Analytical Writing Assessment, Integrated Reasoning, Quantitative and Verbal. The score has a range from 200 - 800.

English requirements

IELTS admission requirements IELTS The International English Language Test System (IELTS) tests your English-language proficiency on a scale of 1 – 9. The score refers to the combined average score of 4 subjects (writing, listening, speaking, and reading).
6 (required)
TOEFL admission requirements TOEFL® IBT The TOEFL iBT® is given online through the internet at desiganated testing site. The test measures your English-language abilities in an academic setting. The score refers to the total score of 4 subjects (writing, listening, speaking, and reading), each subject has a range of 0 - 30.
PTE Academic admission requirements PTE Academic PTE Academic (Pearson Test of English Academic) is a language test that enables students to demonstrate their writing, listening, speaking, and reading skills when applying to study in English. The score refers to a total score which ranges between 10 and 90.

Other requirements

General requirements

A second-class honours degree in a relevant subject, or equivalent professional experience.

English language proficiency at a minimum of IELTS band 6.0 with no component score below 6.0.

Tuition Fee

  • International

    10933 EUR/year
    Tuition Fee
    Based on the original amount of 16400 EUR for the full programme and a duration of 18 months.
  • National

    5200 EUR/year
    Tuition Fee
    Based on the original amount of 7800 EUR for the full programme and a duration of 18 months.

Funding

Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

Our partners

Data Analytics (with Professional Experience)
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University of Portsmouth

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