MSc Big Data Analytics (Work Experience)

Program Overview

The MSc Big Data Analytics program, developed with industry input, provides a comprehensive education in big data technologies, analytics, and industry software, preparing graduates for in-demand careers in a rapidly expanding field. With the option for up to 12 months of work experience, students gain practical skills and connections to excel in roles such as data scientists and fraud analysts in industries from finance to pharmaceuticals.

Program Outline

Degree Overview:

This MSc Big Data Analytics (Work Experience) program is designed to equip students with the skills and knowledge necessary to work in the rapidly expanding field of big data. The program focuses on developing expertise in big data technologies, analytics, and industry-standard software.

Objectives:

• Develop skills in big data technologies, analytics, and industry-standard software.
• Gain knowledge of data storage, data mining, and statistical modeling techniques.
• Gain up to twelve months of real-world experience through the two-year work experience route.

Teaching:

• The program is delivered through a structured mix of lectures, seminars, and practical sessions.
• Students have access to digital and online resources to support their learning.
• The course is delivered face-to-face over three semesters.
• Teaching is scheduled based on the length of the course and the academic calendar.

Careers:

• The program prepares students for careers in:
• Statistical analysis and machine learning techniques
• Database and programming technologies
• Statistical theory
• Marketing and insight
• Credit risk
• Data and technology
• Digital analytics
• Data science
• Previous graduates have gone on to work for companies such as:
• Bank of England
• OCF
• HSBC
• INC Research
• Tata Consultancy Services
• HM Revenue and Customs
• Axis Bank
• Some of the associated careers in these fields are:
• Customer insight analyst
• Credit risk analyst
• Fraud analyst
• Forensic analyst
• Big data architect
• Business intelligence developer
• Digital analyst
• Data scientist

Other:

• The program has been developed in consultation with industry to ensure the content is relevant, up-to-date, and meets the needs of industry.
• The program includes partnerships with businesses that enable the inclusion of cutting-edge software such as SAS, Python, RStudio, and others.
• Students have the opportunity to go on a work placement for up to 12 months starting during the summer of their second year.
• The program includes dedicated sessions to support students in CV writing, interview skills, and job applications.
• Students have the opportunity to work on real work-based projects supplied by an external company or emulated industry case studies.
• The teaching team makes use of their research and industry connections to facilitate the inclusion of real work scenarios and case studies within many of the modules.
• There are many industries that make use of the skills developed on the course once students have graduated, including:
• Pharmaceuticals
• Finance
• Marketing
• Retail
• Public and Private Sector organizations such as: Police, Government, NHS, Amazon, Facebook, UK Ministry of Defence, HSBC, and GSK all make use of data management/analytics extensively to help them to better understand their customers and to make informed business decisions.
• IBM ranked these jobs as one of the most difficult for employers to recruit, due in part to the shortage of skills in this area.

• Home students: £10,310 for the course without work experience placement or £11,810 with work experience placement.
• International/EU students: £17,205 for the course without work experience placement or £18,705 with work experience placement.