MSc in
MSc Business Analytics
University of Surrey
Key Information
Campus location
Guildford, United Kingdom
Languages
English
Study format
On-Campus
Duration
1 - 2 year
Pace
Full time, Part time
Tuition fees
GBP 23,500 / per year **
Application deadline
Request info *
Earliest start date
Request info
* Applications for September 2023 are still open for students who do not require a visa.
** full-time UK students: £13,900 |full-time (with study abroad) - 15 months UK students: £14,600 | part-time UK students: £7,000 2 year; overseas students: £10,100/year; overseas students: £11,000 2 year
Introduction
Why choose this course
In our hyper-connected, data-driven era, the true visionaries who harness the power of big data are the ones who thrive. Imagine being at the forefront of this revolution, armed with cutting-edge tools like artificial intelligence, machine learning, and management science. With our game-changing MSc Business Analytics course, you'll uncover the true potential of data, transforming it into extraordinary insights and propelling businesses to unprecedented success.
Prepare to embark on a learning experience that will elevate your analytical prowess and revolutionize the way you approach business challenges. Our highly practical program is designed to mold you into a confident lateral thinker, equipped with the latest theories and hands-on practices that will set you apart from the competition.
We understand the importance of blending theory and real-world experience, which is why our program is enriched by the wisdom and guidance of inspiring industry experts, who will share their invaluable insights both in the classroom and on-site.
The School has a strong focus on research and innovation. Its research centers include the Centre for Business Analytics in Practice, the Centre for Digital Economy, and the Centre for Hospitality and Tourism Management. Surrey Business School also has a strong track record of entrepreneurship and enterprise.
What you will study
Learn how to become a business-oriented data scientist
This course aims to take your analytics career to the next level and develop your ability to support and make decisions using big data confidently. You'll master the art of descriptive, predictive, and prescriptive analytics, empowering you to unravel complex business dilemmas with ease. You will learn and apply a range of techniques and tools to analyze data related to a range of diverse business operations contexts.
Develop analytical skills employers seek
You’ll gain a deep and thorough understanding of quantitative analytical methodologies and learn through hands-on experience with a range of decision-making software and data management tools. You'll acquire the skills to decipher data-led insights and optimize businesses to their full potential.
Develop problem-solving skills
Your studies will focus on three major areas:
- Analyzing business data
- Using data to solve business challenges
- Making data-driven business decisions.
In this course, you’ll learn how to apply new knowledge and demonstrate your skills prowess through practical problem-solving challenges.
Learn how to become a critical thinker
You’ll gain the ability to independently evaluate critical approaches and techniques relevant to business analytics. You'll learn how to relate existing knowledge structures and methodologies to analytical business challenges.
Learn how to manage analytics projects
You'll master the skill of running data analytics projects, from assessing and analyzing raw data to preparing visualizations and concluding by optimally communicating your results effectively to a select audience.
Professional Recognition
MSc - Association to Advance Collegiate Schools of Business (AACSB)
Accredited by the Association to Advance Collegiate Schools of Business (AACSB).
MSc - International Institute of Business Analysis (IIBA)
This program is endorsed by IIBA (the International Institute of Business Analysis) and prequalifies for the professional development requirement of the IIBA Core Certifications: CCBA® and CBAP®
Admissions
Curriculum
Academic year structure
Our course runs over three semesters. You'll take four modules in both Semester 1 (October to January) and Semester 2 (February to June). Semester 3 runs from June to September. You’ll carry out your independent project (dissertation) during this time.
Modules
Modules listed are indicative, reflecting the information available at the time of publication. Please note that modules may be subject to teaching availability, student demand and/or class size caps.
The University operates a credit framework for all taught programmes based on a 15-credit tariff. Modules can be either 15, 30, 45, 75 or 120 credits, and additionally for some masters dissertations, 90 credits.
The structure of our programmes follows clear educational aims that are tailored to each programme. These are all outlined in the programme specifications which include further details such as the learning outcomes:
Year 1 Full-time
- Data Mining and Text Analytics
- Equity Investment Analysis
- Principles of Analytics
- Principles of Finance and Investment
- Statistics and Econometrics
- Supply Chain Design, Planning and Analysis
- Data and Business Process Management (with Sap)
- Financial Modelling
- Machine Learning/AI and Visualisations
- Marketing Analytics
- Operational Analytics
- Performance Analytics
- Project/Dissertation for Business Analytics
Year 1 (Full-time with Study Aboard - 15 Months)
- Data Mining and Text Analytics
- Equity Investment Analysis
- Principles of Analytics
- Principles of Finance and Investment
- Statistics and Econometrics
- Supply Chain Design, Planning and Analysis
- Data and Business Process Management (with Sap)
- Financial Modelling
- Machine Learning/AI and Visualisations
- Marketing Analytics
- Operational Analytics
- Performance Analytics
- Project/Dissertation for Business Analytics
Year 1 Part-time
- Data Mining and Text Analytics
- Principles of Analytics
- Statistics and Econometrics
- Data and Business Process Management (with Sap)
- Marketing Analytics
- Operational Analytics
Year 2 Part-time
- Equity Investment Analysis
- Principles of Finance and Investment
- Supply Chain Design, Planning and Analysis
- Financial Modelling
- Machine Learning/AI and Visualisations
- Performance Analytics
- Project/Dissertation for Business Analytics
Timetable
New students will receive their personalised timetable in Welcome Week, and in subsequent semesters, two weeks prior to the start of the semester. Please note that while we make every effort to ensure that timetables are as student-friendly as possible, scheduled teaching can take place on any day of the week (Monday–Friday). Wednesday afternoons are normally reserved for sports and cultural activities. Part-time classes are normally scheduled on one or two days per week, details of which can be obtained from the Academic Hive. View our Code of practice for the scheduling of teaching and assessment (PDF).
Gallery
Scholarships and Funding
About the Discounts for Surrey Graduates 2023 entry
If you are a fully self-funded Home or International student who has studied for an undergraduate degree at the University of Surrey campus in Guildford, you may be eligible for a 20 percent discount on our taught postgraduate master program fees.
The discount applies to:
- September/October 2023 entrants
- February 2024 entrants
- February 2024 entrants. Note: If applicable master programmes are running with a February intake for the 2023/24 academic year.
- This scheme is only open to 2023 postgraduate taught entry students who are not in receipt of any external sponsorship.
Postgraduate Master's Loans
A Postgraduate Master’s Loan can help with course fees and living costs while you study a postgraduate course.
What you'll get
You can get up to:
- £12,167 if your course starts on or after 1 August 2023
- £11,836 if your course started between 1 August 2022 and 31 July 2023
- £11,570 if your course started between 1 August 2021 and 31 July 2022
- £11,222 if your course started between 1 August 2020 and 31 July 2021
- £10,906 if your course started between 1 August 2019 and 31 July 2020
- £10,609 if your course started between 1 August 2018 and 31 July 2019
This loan is non-means tested, i.e. the amount you can request is not dependent on your or your family's income. Your loan can be used towards the cost of your course fees and living expenses.
Eligibility
To be eligible, you will need to meet a number of eligibility criteria set by the Government including residency, age, and course. See the full eligibility criteria.
Not all courses at the University of Surrey are eligible for postgraduate loan funding, for example, unstructured, part-time, or distance learning courses where the maximum period of registration is five years are not eligible.
Contact the Student Records team for more information on whether your course is eligible.
Repayment
You’ll repay your postgraduate loan using a percentage of your income. Once you are earning more than £21,000 a year (or £1,750 a month), you’ll pay six percent of the amount you earn above the £21,000 threshold.
You’ll be charged interest from the day you get the first payment.
Get more information on repaying your postgraduate loan.
How to apply
The quickest and easiest way to apply is through the Government's Postgraduate Master's Loans website.
Receiving your loan
To receive the first payment of your loan, you’ll need to have fully completed registration with the University (which includes part payment of tuition fees).
You get the first payment after your course start date, once your university or college confirms that you’ve registered.
There are specific rules around students who transfer or repeat the study and how this affects eligibility. For further information, please contact the Student Records team.
If you have been accepted for the Postgraduate Master's Loan, and are having difficulties in paying your fees before your first installment is due, please contact our Student Finance team once you’ve received a tuition fee invoice.
Please be aware this page is a summary correct as of January 2023. For full details, please visit the Government website.
Career Opportunities
We offer career information, advice, and guidance to all students whilst studying with us, which is extended to our alumni for three years after leaving the University. Our graduates have lifetime access to Surrey Pathfinder, our online portal for appointment and events bookings, jobs, placements, and interactive development tools.
By studying this course you will gain unparalleled expertise that will make you an indispensable asset in any organisation.
94 percent of our Surrey Business School postgraduate students go on to employment or further study (Graduate Outcomes survey 2023, HESA).
Business analytics students often pursue careers as:
- Data scientists
- Data analysts
- Finance analysts
- Operations managers
- Consultants (Power BI/Tableau, Business Strategy, Analytics)
- Business analytics managers
- Business intelligence analysts.
Program Tuition Fee
English Language Requirements
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