Financial Data Science MSc
Course Highlights
- Benefit from guest lectures and seminars delivered by leading industry and subject experts, providing valuable insights into current trends and practices in the financial sector
- Immerse yourself in a collaborative learning environment through group projects, seminars, and networking events
- Engage with peers and industry professionals to build valuable connections and enhance your teamwork and communication skills
- 68th QS World University Rankings 2027 QS Top Universities QS World University Rankings 2027
- Graduate with same University of Birmingham degree as you would at our UK campus
What You'll Study
Our world-class research and a vibrant, global student community are at the heart of our School of Mathematics. You'll take part in tutorials and projects to consolidate your learning. Learn about cutting-edge developments in your chosen areas of interest, with lectures delivered by world-leaders in their fields; Receive tailored guidance and feedback in tutorials, enabling you to tackle specific challenges and enhance comprehension of the material; Foster independence through project work, preparing you for professional environments and ongoing personal development; Benefit from 1:1 supervision that offers personalised learning which gives you the opportunity to get tailored guidance and feedback that meets your individual needs. All work will be assessed via exams, coursework, presentations, and a dissertation. We offer a combination of evening and weekend classes which are designed to accommodate working professionals and those who choose to study full-time. Our typical course timetable is designed to deliver teaching on weekday evenings from 18:00-21:00 and on Saturday from 09:00-16:00. Example timetable (PDF 189 KB) Lecture Projects Tutorial 1:1 Supervision
Modules
- Algorithmic and High Frequency Trading10 credits
- Data Visualisation10 credits
- Deep Learning10 credits
- Financial Data Science Project60 credits
- Foundations of Statistical Inference20 credits
- Mathematical Finance20 credits
- Statistical Machine Learning20 credits
- Stochastic Processes20 credits
- Time Series and Prediction10 credits
Entry Requirements
Careers
You'll be well equipped with a versatile skill set that will open doors to a wide range of career opportunities in the financial industry and beyond. Some potential career paths include Quantitative Analyst, Data Scientist, Financial Engineer, Risk Analyst, Investment Analyst, Financial Technology (FinTech) Specialist or Consultant. Whatever you choose to do, you'll be sure to leave us with the knowledge you need in this field. In a competitive global market, you need to be ready for work before you graduate. At the University of Birmingham Dubai, our careers services will help you plan and achieve your ambitions. Whatever you plan to do after your degree, the Careers Network Dubai information, advice, and guidance service offers support to help you identify your options, develop your skills and gain access to opportunities that propel you towards your career goal.
Accreditation & Professional Recognition
This programme is accredited by the United Arab Emirates Ministry of Higher Education and Scientific Research.
Programme Details
Award
Master of Science
Start Date
September
Duration
1 year
Qualification
Masters
Subject Area
Business & Finance
Campus
Dubai
Study Pattern
Full time
Delivery Format
In person
Tuition Fee
AED 166,356/yr
Tuition for September 2026 entry: AED 166,356 per year. To apply for a postgraduate programme, you will need to submit your application and supporting documents online. Choosing to study with the University of Birmingham Dubai is an exciting decision and you may have many questions on what to do next. Follow the steps below to help guide you through the process. How to apply Apply directly through the University of Birmingham Dubai Admissions portal (not UCAS); there is no application fee. A non-refundable AED 5,000 tuition deposit is payable on accepting an offer and is deducted from your fees. Decisions are usually issued within 10 working days.