MSc Data Analytics

Why study this course?

On our Data Analytics MSc you'll be introduced to subjects including data mining, statistical modelling, business intelligence and data visualisation. The course has been developed with direct input from industry experts who’ll present you with real-life business cases as part of your work-related learning. By the end of the MSc degree, you’ll be ready to apply for rewarding roles in the data science and big data industries, as well as the many sectors and organisations that increasingly require data analysts.

Our Data Analytics MSc degree has been accredited with partial CITP status by BCS, The Chartered Institute for IT. This accreditation is a mark of assurance that the degree meets the standards set by BCS. As a graduate of this course, accreditation will also entitle you to professional membership of BCS, which is an important part of the criteria for achieving Chartered IT Professional (CITP) status through the Institute.

The course has also achieved partial CENG status by BCS on behalf of the Engineering Council. Accreditation is a mark of assurance that the degree meets the standards set by the Engineering Council in the UK Standard for Professional Engineering Competence (UK-SPEC). An accredited degree will provide you with some or all of the underpinning knowledge, understanding and skills for eventual registration as an Incorporated (IEng) or Chartered Engineer (CEng).

Some employers recruit preferentially from accredited degrees, and an accredited degree is likely to be recognised by other countries that are signatories to international accords.

The course can also prepare you for the industry-recognised Oracle Professional Certification.

More about this course

This postgraduate course will equip you with the theoretical, technical and practical skills required to become a data analyst. With an expert teaching team, access to specialist software and work on real-life business cases, you’ll be well prepared for a career in data analytics upon graduation.

The modules on this course have been developed with the help of industry professionals, some of whom will be present to teach you in specific classes. These experts will help you explore advanced techniques in data science. You'll study specialist subjects including financial mathematics, statistical modelling and forecasting, as well as having the chance to develop your own unique piece of work in the MSc Project module.

You’ll also be trained to use specialist software tools and environments currently used by professionals in industry. For example, you’ll have access to R and Python programming, IBM SPSS, SAS®, Tableau, Oracle and Hadoop. Familiarity with these tools will greatly enhance your employability upon graduation.

Our skilled professionals will expose you to real-life business case scenarios. For example, past students have worked on data warehouse projects with Lloyds Bank. This ensures you’ll develop practical skills and become familiar with the kind of challenges you could face in data analyst roles.

Assessment

The course is assessed in a number of ways including written reports, practical and research assignments, demonstrations, presentations, group work and examinations.

Where this course can take you

Upon completion of the course, you’ll be well equipped to work in some of the fastest growing sectors of the data science and big data industries. A wide range of career opportunities will be open to you in the commercial, public and financial sectors, especially in areas requiring big data analysis such as consumer, healthcare, scientific, financial, security intelligence, business and social sciences.