Students
Tuition Fee
USD 31,622
Per year
Start Date
Not Available
Medium of studying
On campus
Duration
12 months
Details
Program Details
Degree
Masters
Major
Demolition Technology | Pipefitting
Area of study
Business and Administration | Natural Science
Education type
On campus
Timing
Full time
Course Language
English
Tuition Fee
Average International Tuition Fee
USD 31,622
Intakes
Program start dateApplication deadline
2023-09-01-
About Program

Program Overview


Develop the skills to help businesses make informed decisions, on this MSc in Business Analytics and Finance.

You'll study topics on corporate finance, portfolio management and credit scoring, along with the latest analytical techniques.

A 3-month placement opportunity with a company like British Airways or JP Morgan will give you valuable practical experience. When you graduate, you'll be well prepared for a career in finance, banking or data analytics.

This degree is ideal if you want to advance your data analytics skills and you’ve carried out a quantitative study. It will also suit you if you have relevant professional experience.

We align our teaching with the latest sector thinking by developing the course content with our

Business Advisory Board

. The board includes industry experts from organisations such as:

  • Rolls Royce
  • BT Openreach
  • Ford
  • Shell
  • Our competitive

    industry placement project

    will boost your career prospects as you take on a real-world challenge. This will form the basis of your dissertation.

    You’ll also benefit from the expertise of the

    Centre of Operational Research, Management Sciences and Information Systems (CORMSIS)

    , one of the country’s strongest analytics research groups. Your learning is informed by specialist research, and you can personalise your studies with optional modules. For example, you can choose to focus on:

  • financial risk management
  • advanced analytics
  • simulation
  • revenue management
  • Course lead

    Dr Steffen Bayer is your course lead. Steffen’s research explores predictive analytics using simulation methods applied in different fields. He teaches the Simulation module.

    Read about Dr Bayer's research and publications

    .

    See More