London Metropolitan University

Course Introduction

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.

Accredited by the British Computer Society (BCS) - The Chartered Institute for IT, it can also prepare you for the industry-recognised Oracle Professional Certification.

In the most recent Destinations of Leavers from Higher Education (DLHE) survey, 100% of all 2017 graduates from this course were in work or further study within six months.

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.

After the course

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.

Job roles you could apply for include data scientist, data analyst, digital analyst, big data consultant, statistical analyst and data modeller. You?ll be eligible to work in a multitude of areas where skills such as R or Python programming, machine learning and statistical modelling, SAS® and SPSS experience, data visualisation and data-driven decision-making are required.

Duration & Attendance Qualification Tuition fees Fee type
1 year
Full Time
MSc £8,950 Home Fees
1 year
Full Time
MSc £13,250 Overseas Fees
1 year
Full Time
MSc £8,950 European Fees
2 years
Part Time Day
MSc Home Fees
2 years
Part Time Day
MSc Overseas Fees
2 years
Part Time Day
MSc European Fees

Qualifications required:

  • Domestic entry requirements: You will be required to have: a 2:2 UK degree (or equivalent) in any discipline that involves an element of data analysis (applicants with relevant professional experience will also be considered).
  • International entry requirements: You will be required to have: a 2:2 UK degree (or equivalent) in any discipline that involves an element of data analysis (applicants with relevant professional experience will also be considered). English Requirement - You need to have: overall academic IELTS score of 6.0 including Listening: 5.5, Reading: 5.5, Writing: 5.5, Speaking: 5.5; Pearson Test of English (PTE) Academic Component scores required: Listening: 51; Reading: 51; Writing: 51; Speaking: 51; Cambridge English - Certificate of Proficiency overall grade required: C. A certifying statement of results is also required.