Data Analytics (with Professional Experience), M.Sc. | University of Portsmouth | Portsmouth, United Kingdom
18 months
Duration
5400 GBP/year
5400 GBP/year
Unknown
Tuition fee
Anytime
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Apply date
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Start date

About

On this MSc Data Analytics (with Professional Experience) degree course from the University of Portsmouth, 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.

Visit the official programme website for more information

Overview

Do you want to get professional workplace experience of data analytics while qualifying with a Master's degree in the field? On this Data Analytics (with Professional Experience)  course from the University of Portsmouth , you'll see how you can apply data analytics tools in emerging technologies and start-ups using the UK's only university-based SAP Next Generation Lab.

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

  • 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

Work experience and career planning

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.

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.

Roles our graduates have taken on include:

  • senior data scientist
  • data engineer
  • business intelligence analyst
  • programmer
  • machine learning programmer
  • PhD researcher
  • machine learning programmer
  • big data programmers and engineers

Teaching and programme assessment

This Data Analytics Master's degree adopts an innovative teaching style in the core units. There are no traditional lectures. Instead, lectures and practical classes are combined in long applied workshop sessions. 

All teaching takes place in our computer labs, which are equipped with a variety of data analytics and data mining tools.

Teaching staff include experienced experts with relevant industry experience and research experience in data science, machine learning and big data subject areas. Teaching staff have worked in national and international companies as software engineers, data scientists and big data programmers.

You can access all teaching resources on Moodle, our virtual learning environment, from anywhere with a Web connection.

For more about the teaching activities for specific modules, see the module list above.

You’ll be assessed through:

  • written coursework
  • practical assessments
  • exams

You’ll be able to test your skills and knowledge informally before you do assessments that count towards your final mark. You can get feedback on all practice and formal assessments so you can improve in the future.

Programme Structure

Courses include:

  • Applied Data and Text Analytics
  • Big Data Applications
  • Business Intelligence
  • Data Management
  • Master's Engineering Project or Master's Study Project

Key information

Duration

  • Full-time
    • 18 months

Start dates & application deadlines

Language

English
TOEFL admission requirements TOEFL® IBT
91

Credits

180 alternative credits

Delivered

On Campus

Academic requirements

GPA admission requirements GPA
Lower Second Class

English requirements

TOEFL admission requirements TOEFL® IBT
91

Tuition Fee

To alway see correct tuition fees
  • International

    5400 GBP/year
    Tuition Fee
    Based on the tuition of 8100 GBP for the full programme during 18 months.
  • National

    5400 GBP/year
    Tuition Fee
    Based on the tuition of 8100 GBP for the full programme during 18 months.

Living costs for Portsmouth

710 - 1099 GBP /month
Living costs

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.

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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