Queen's University Belfast- GIFT City
MSc Financial Analytics
Ratanpur, India
MSc
DURATION
1 year
LANGUAGES
English
PACE
Full time
APPLICATION DEADLINE
EARLIEST START DATE
Sep 2027
TUITION FEES
GBP 15,700
STUDY FORMAT
On-Campus
Key Summary
About: The MSc Financial Analytics at Queen’s teaches how data science, analytics, statistics, and programming apply to financial markets and FinTech. It combines quantitative and computational techniques with finance to bridge complex models and decision making. You’ll get practical skills in modeling, statistical analysis, programming, machine learning, and economic data interpretation.
Career Outcomes: Graduates access career opportunities across financial data science, trading, software development, portfolio management, consulting, risk management, business analytics, and academia. Typical roles include data scientist, financial engineer, software developer, portfolio analyst, risk analyst, and business analyst. Programme prepares you for positions in banks, FinTechs, and consulting firms.
The MSc Financial Analytics is the programme for you if you have an interest in financial markets or financial technology (FinTech) and enjoy working with data. It shows you how data science, analytics, statistics, and programming tools are used in the real world for the analysis and modelling of financial and economic data.
The programme will equip students with cutting-edge quantitative and computational techniques utilised by industry-leading firms. The course aims to bridge the gap between complex quantitative models and financial decision making and does so by equipping students with dual skill sets in both finance and data analysis. It can lead to exciting careers in areas such as financial data science, trading, software development, portfolio management, consulting, data analytics, risk management, business analytics, and academia.
MSc Financial Analytics students will study the following modules:
- Asset Pricing
- Financial Data Analytics
- Corporate Finance or Financial Market Structure
- Data Management
- Advanced Financial Data Analytics
- Financial Modelling in Python
- AI & Trading
- Advanced Analytics & Machine Learning
- Applied Research Project or Dissertation
This programme equips students with cutting-edge quantitative and computational analytical skills demanded by leading firms worldwide. It prepares you for future careers in quantitative finance, trading, general finance, FinTech, and business consulting environments.
Many modules emphasise learning through simulation, ensuring you gain practical, hands-on experience and the ability to apply theoretical knowledge to real-world financial decision-making scenarios.
Queen’s University Belfast is ranked 174th in the QS World University Rankings 2027
Queen’s University Belfast GIFT City Postgraduate Award
- £4000
- Who is Eligible: New students studying full-time postgraduate taught programmes.
- Application Process: No application necessary, awards are made automatically to eligible new students on enrolment.
Queen's GIFT City Excellence Scholarship
- Scholarship Value: 50% of tuition fees paid for one year
- Who is Eligible: Outstanding applicants enrolling in a full-time postgraduate programme at QUB GIFT City.
- Application Process: Video submission and online application required.
- Final deadline for Academic Excellence Scholarship applications is 16 August 2026.
Dean's Attainment Award
- Scholarship Value: 100% of tuition fees paid for one year
- Who is Eligible: Outstanding applicants enrolling in a full-time postgraduate programme at QUB GIFT City
- Application Process: Video submission and online application required.
- Final deadline for Dean's Attainment Award applications is 16 August 2026.
Early Bird Reward
- Scholarship Value: £1,500
- Who is Eligible: New International students with unconditional offers for the academic year 2026/27 may receive a discount of £1,500 when paying their tuition fees in full by 18 September 2026
- Application Process: No application necessary. However, students must email proof of payment confirmation to the International Office
- Scholarships by 18 September 2026
All scholarships are offered subject to terms and conditions.
Employability
This programme prepares you for high-impact roles at the intersection of finance, technology, and data. Graduates secure positions such as data scientist, financial engineer, software developer, portfolio analyst, risk analyst, and business analyst across top consulting firms, financial institutions, and FinTech businesses.
Graduate Outcomes
With strong demand in India’s financial hubs, including Mumbai, Bengaluru, and the GIFT City ecosystem, this programme builds the quantitative, computing, and analytical expertise you need to succeed. You’ll gain real-world skills in areas such as data science, trading, portfolio management, consulting, and risk, helping you prepare for both local and international opportunities.
Example Career Paths
- Data Scientist
- Financial Engineer
- Software Developer
- Portfolio Analyst
- Risk Analyst
- Business Analyst
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