Data Analytics at University of Portsmouth - UCAS

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Course summary

Overview Master big data methodologies and find the valuable trends and patterns buried in complex datasets with our MSc Data Analytics course. You'll build your proficiency with data mining tools, unlock specialist knowledge of professional analysis methods, and apply your learning to real data drawn from professional partners, such IBM, or from live University research into cosmology, health informatics and cybersecurity. You'll plan and produce an in-depth research project, using analytics packages like Hadoop and Tableau, and we'll provide the expertise and support so you can develop your professional practice. And once you graduate, you'll have a skillset that'll get you noticed – and all the tools you need to progress your career in data analytics or deep learning. What you'll experience On this course you'll:

  • Plan and deliver your Master's project in collaboration with an industry partner – previous projects have analysed data from Fresh Relevance, Specsavers and IBM to support strategic priorities
  • Build your own database from complicated, real-world datasets, and apply robust statistical methods to produce actionable, data-driven insights
  • Use industry-standard software, such as Knime, Tableau, Hadoop and Spark, and engage with modern techniques including machine learning, AI, and Business Intelligence Modeling
  • Convert your existing study or workplace knowledge into a the necessary skillset for modern data-driven careers
Accreditation This course is accredited by the British Computer Society, partially meeting the educational requirement for CITP. Careers and opportunities You'll graduate from this course with enhanced skills in data science and analytics. You'll know how to extract the most valuable information from data sets with mixed attributes, and you'll be an expert in new techniques and technologies in the field, making you highly employable. What jobs can you do with a Data Analytics degree? Career opportunities include:
  • Senior data scientist
  • Data architect
  • Data officer
  • Information strategist
  • PhD research
We'll provide you with as much support as possible in finding employment through close industrial contacts, careers events, recruitment fairs and individual advice. "[Before this course] I knew about mathematics, statistics and data analysis tools, but I didn’t have the skills to deal with Big Data. I looked for the right degree to get these skills [and] the University Of Portsmouth was the choice that suited my aspirations and needs." Chaimaa Ibnoucheikh, MSc Data Analytics


What you'll study on this MSc Data Analytics degree course Each module on this course is worth a certain number of credits. You need to study modules worth a total of 180 credits. For example, 4 module worth 30 credits and 1 module worth 60 credits. Core modules include:

  • Big Data and Machine Learning Applications (30 credits)
  • Data Management (15 credits)
  • Data Visualisation and Exploratory Analytics (15 credits)
  • Intelligent Data and Text Analytics (30 credits)
  • Masters Project (60 credits)
  • Programming for Data Analytics and AI (15 credits)
Optional modules:
  • Business Intelligence (15 credits)
  • Cyber Security for Information Systems (15 credits)
  • Explainable AI (15 credits)
  • Statistical Machine Learning (15 credits)
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.

Assessment method

You will encounter a range of assessment styles depending on the content and nature of the unit topic. This can include written assignments and presentations, as well as group and individual lab-based assessments. However, the most significant assessment element is your project.

Professional bodies

Professionally accredited courses provide industry-wide recognition of the quality of your qualification.

  • British Computer Society

Entry requirements

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

English language requirements

TestGradeAdditional details
IELTS (Academic)6English language proficiency at a minimum of IELTS band 6.0 with no component score below 6.0.
Cambridge English AdvancedCambridge English: Advanced (CAE) taken after January 2015. An overall score of 176 with no component score less than 169.
Cambridge English ProficiencyCambridge English: Proficiency (CPE) taken after January 2015. An overall score of 176 with no component score less than 169.
TOEFL (iBT)7979 with a minimum of 20 in Reading, 19 in Listening, 21 in Speaking and 20 in Writing.
PTE Academic54An overall score of 54 with a minimum of 54 in each skill.

Fees and funding

Tuition fees

EU £10400 Year 1
England £10400 Year 1
Northern Ireland £10400 Year 1
Scotland £10400 Year 1
Wales £10400 Year 1
Channel Islands £10400 Year 1
Republic of Ireland £10400 Year 1
International £19200 Year 1

Additional fee information

Students who are resident in EU countries: please note that the net fee is inclusive of the Transition Scholarship Fees are accurate at the time of publishing and are subject to change at any time without notice. Fees may also go up in later years, in line with inflation.
Data Analytics at University of Portsmouth - UCAS