Data Analytics (Taught)

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.

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.

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

• British Computer Society