Business Analytics and Finance (MSc)
Southampton, United Kingdom
DURATION
1 Years
LANGUAGES
English
PACE
Full time
APPLICATION DEADLINE
30 Aug 2024*
EARLIEST START DATE
Sep 2024
TUITION FEES
GBP 28,900 **
STUDY FORMAT
On-Campus
* for UK | other countries, China: 29 July 2024
** for EU and international student | UK students: GBP 15,000
Introduction
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.
This degree is ideal if you want to advance your data analytics skills and you’ve studied a quantitative subject, such as economics, mathematics, physics, engineering or computer science, for your undergraduate degree. 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
Your dissertation will be an important part of your degree. You will be able to choose one of the following options:
- Choose a topic to write your dissertation about. Your dissertation supervisor will be able to help you identify a suitable topic.
- Apply to work on an industry project. If you are selected to work on the project, this will be the topic 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
Admissions
Curriculum
On this master’s degree in Business Analytics and Finance, your studies will run for a full 12 months.
The first 9 months cover taught modules. There are 2 sets of exams, in January and in May. You will then work on your dissertation from June to September.
Modules
The modules outlined provide examples of what you can expect to learn on this degree course based on recent academic teaching. As a research-led University, we undertake a continuous review of our course to ensure quality enhancement and to manage our resources. The precise modules available to you in future years may vary depending on staff availability and research interests, new topics of study, timetabling and student demand.
You must study the following modules :
- Corporate Finance 1
- Credit Risk & Data Analytics
- Optimisation and Decision Modelling
- Quantitative Research in Finance
You must also choose from the following modules :
- Advanced Analytics
- Corporate Finance 2
- Dissertation (Analytics)
- Financial Portfolio Theory
- Financial Risk Management...
- Forecasting
- Introduction to Python
- Portfolio Theory and Asset Pricing
- Project Management
- Revenue Management
- Simulation
- Summer Project
Program Tuition Fee
Career Opportunities
You’ll boost your salary potential by graduating with the business analytics and finance skills employers are looking for. Our graduates have gone on to work for financial, business and government organisations including:
- The Bank of England
- Home Credit China
- The National Health Service (NHS)
Some of our industry partners offer one-to-one career development sessions and you’ll also be invited to our yearly analytics recruitment fair run by CORMSIS, which attracts a wide range of employers.
Program delivery
As well as learning practical techniques you’ll develop your critical evaluation, financial decision-making and mathematical modelling skills through:
- Lectures and Seminars
- Individual and Group Exercises
- Computer Classes
- Private Study
- Workshops
- You’ll Also Explore Topics in More Depth Through:
- Exercises Using Real-world Data
- Case Studies
- Numerical Problem Solving
You can gain specialist experience using analytics, modelling, coding and programming software using tools such as Excel, Python, SIMUL8 and SPSS. You’ll also learn to use SAS, a leading data analytics programme, to prepare you for the SAS base programmer certification.
Assessment
Assessment methods vary between modules and may include:
- Examinations
- Individual Coursework
- Group Work
- Dissertation
Modules such as Credit Scoring and Simulation have a practical computer-based assignment, using commercial software so that your mathematical modelling skills can be assessed.