UNIVERSITY OF SOUTHAMPTON · UNITED KINGDOM
MSc Data, Decision and Analytics
Master's · Taught in en
At a glance
12 mo
Duration
6.5
IELTS
€33k
Tuition / yr
en
Language
Master's
Level
- 12 monthsDuration
- Full-timeAttendance Mode
- SeptemberIntake
- MScDegree Level
This Master of Science (MSc) programme in Data, Decision and Analytics equips you with the advanced analytical and technical skills to thrive in the data-driven world. You will learn to extract valuable insights from complex datasets, enabling informed decision-making and strategic planning. The course is designed for graduates with a quantitative background who want to specialise in the rapidly growing fields of data science and business analytics. You will explore statistical modelling, machine learning, data mining, and visualization techniques, applying them to real-world business challenges. Graduates from this program are prepared for diverse roles in various industries, leveraging data to drive innovation and improve performance.
Curriculum
The MSc programme typically spans one academic year, consisting of taught modules followed by a dissertation project. The curriculum is designed to provide a comprehensive understanding of data analysis, decision-making, and applied analytics.
- Year 1
- Statistical ModellingSTAT6131
- Machine LearningCOMP6255
- Data Mining and WarehousingCOMP6247
- Business AnalyticsBUSI6328
- Optimisation and Decision MakingBUSI6329
- Data VisualizationBUSI6330
- Research Methods for DataSTAT6132
- DissertationBUSI6332
Careers
This MSc programme prepares you for a variety of roles in the analytics and data science sectors. The skills gained are highly sought after across many industries.
- Data Scientist
- Business Analyst
- Data Analyst
- Decision Scientist
- Machine Learning Engineer
- Business Intelligence Analyst
Frequently asked questions
- What are the academic entry requirements for the MSc Data, Decision and Analytics programme?
- You need a good honours degree (minimum 2:1 or equivalent) in a quantitative subject like mathematics, statistics, computer science, engineering, or economics. Relevant work experience may also be considered.
- What is the tuition fee for international students for this programme?
- The international tuition fee for the MSc Data, Decision and Analytics programme is £28,500 per year. Please note that tuition fees are subject to change.
- How long is the MSc Data, Decision and Analytics programme?
- The MSc programme typically spans one academic year, lasting 12 months, and is full-time. It consists of taught modules followed by a dissertation project.
- What is the English language requirement for international applicants?
- International students need to provide proof of English language proficiency, typically with an IELTS score of 6.5 overall, with a minimum of 6.0 in each component.
- When is the application deadline for the September intake?
- The application deadline for the September intake is 31 July. Applications open in Autumn for the following September intake.
- What kind of careers can I pursue after completing this MSc?
- Graduates are prepared for roles such as Data Scientist, Business Analyst, Data Analyst, Decision Scientist, Machine Learning Engineer, and Business Intelligence Analyst.
Entry requirements
Bachelor's degreeA good honours degree (minimum 2:1 or equivalent) in a quantitative subject such as mathematics, statistics, computer science, engineering, economics, or a related discipline.
IELTS6.5 overall with a minimum of 6.0 in each component
We consider a wide range of international qualifications. If you are unsure about your eligibility, please contact the admissions team. Applicants with relevant work experience may be considered.
Fees
Tuition (international)£28,500 per year
Tuition (home)£13,000 per year
LivingEstimated £13,000 per year
Tuition fees are subject to change. Please refer to the official University of Southampton fee pages for the most up-to-date information. Living costs are estimates and can vary based on individual spending habits.
How to apply
1. Check Entry RequirementsReview the specific academic and English language requirements for the MSc Data, Decision and Analytics programme.
2. Prepare Your DocumentsGather academic transcripts, degree certificates, English language test results (e.g., IELTS), a personal statement, and references.
3. Complete the Online ApplicationFill out the application form on the University of Southampton's postgraduate application system. Upload all required supporting documents.
4. Submit ApplicationSubmit your completed application by the specified deadline.
5. Receive an OfferIf successful, you will receive an offer of admission. Accept or decline the offer as per the instructions.
6. Prepare for ArrivalOnce you have accepted an offer and met any conditions, you can begin the process of applying for your student visa and making arrangements for accommodation and arrival.
Frequently asked questions
What are the academic entry requirements for the MSc Data, Decision and Analytics programme?
+
You need a good honours degree (minimum 2:1 or equivalent) in a quantitative subject like mathematics, statistics, computer science, engineering, or economics. Relevant work experience may also be considered.
What is the tuition fee for international students for this programme?
+
The international tuition fee for the MSc Data, Decision and Analytics programme is £28,500 per year. Please note that tuition fees are subject to change.
How long is the MSc Data, Decision and Analytics programme?
+
The MSc programme typically spans one academic year, lasting 12 months, and is full-time. It consists of taught modules followed by a dissertation project.
What is the English language requirement for international applicants?
+
International students need to provide proof of English language proficiency, typically with an IELTS score of 6.5 overall, with a minimum of 6.0 in each component.
When is the application deadline for the September intake?
+
The application deadline for the September intake is 31 July. Applications open in Autumn for the following September intake.
What kind of careers can I pursue after completing this MSc?
+
Graduates are prepared for roles such as Data Scientist, Business Analyst, Data Analyst, Decision Scientist, Machine Learning Engineer, and Business Intelligence Analyst.