infomatics institute of technology

Where Finance Meets the Future

The programme combines financial knowledge with data analytics, emerging financial technologies and digital business skills, enabling students to understand how technology is transforming modern financial services.

Students will develop practical analytical, problem-solving and decision-making capabilities while gaining exposure to areas such as FinTech, blockchain, cloud computing, financial modelling, big data, predictive analytics and machine learning.

The programme prepares graduates to contribute to the rapidly evolving financial technology sector and support organisations through data-driven decision-making, innovation and digital transformation.

infomatics institute of technology

Awarding University & Course Recognition

infomatics institute of technology

infomatics institute of technology

UGC Recognized

Next Intake

September, 2026
Intakes

January/September

infomatics institute of technology

Duration

3 Years

(Full Time)

infomatics institute of technology

Entry Requirements

O/L Requirements

  • Local O/L: Minimum 6 passes including 3 credits with Mathematics and English.
  • Cambridge/Edexcel O/L: Minimum 5 passes including 3 credits with Mathematics and English.

Applicants must also achieve the required A/L entry points and pass the AI & Data Engineering entrance examination.

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Associated Careers

  • Account Manager
  • Business Control Officer
  • Compliance Manager
  • Corporate Analyst
  • Data Scientist
  • Financial Analyst
  • Financial Engineer
  • Marketing Manager
  • Product Owner
Core Modules
  • Business Computing
  • Financial Skills Development
  • Introduction to Finance
  • Mathematics for Finance
  • Principles of FinTech, Blockchain and Cloud Computing
  • Entrepreneurship in FinTech
Students will develop a strong foundation in finance, business computing, mathematics and emerging financial technologies.
Core Modules
  • Computational Finance and Business Analysis
  • Financial Market Microstructure
  • Financial Modelling and Statistics
  • Principles of Cryptocurrencies and Blockchain Technology
  • Digital Business for Finance and Accounting
  • Principles of Big Data Management for Finance
The second year builds deeper knowledge in computational finance, financial markets, financial modelling, blockchain technologies and data management.
Students seeking additional industry or international exposure can undertake an optional Professional Placement Year or International Experience Year.This provides an opportunity to gain practical experience, strengthen professional skills and apply academic knowledge within a real-world working or international environment.
Core Modules
  • Advanced Data Analysis and Management Science
  • Business Forecasting and Predictive Analytics
  • Investments and Portfolio Management
  • Machine Learning
  • Digital Analytics
  • International Banking

Learning Outcomes

Learning Outcomes

What You Will Be Able to Do

By the end of the BSc (Hons) FinTech with Data Analytics programme, students will be equipped with the financial, analytical and technology capabilities required to contribute confidently in modern data-driven organisations.

01

Apply Financial & FinTech Knowledge

Understand core financial concepts and apply them within digital finance, FinTech and technology-enabled business environments.

02

Analyse Data for Better Decisions

Use data analysis, statistics and analytical techniques to interpret information and support strategic financial and business decision-making.

03

Use Emerging Financial Technologies

Demonstrate an understanding of blockchain, cryptocurrencies, cloud computing, digital platforms and emerging technologies shaping finance.

04

Build Predictive & Analytical Solutions

Apply financial modelling, forecasting, predictive analytics and machine learning concepts to real-world financial and business problems.

05

Solve Real-World Business Challenges

Use critical thinking, quantitative reasoning and structured problem-solving to evaluate complex financial and organisational challenges.

06

Support Digital Transformation

Recognise how data and technology can improve financial services, business processes, customer experiences and organisational performance.

07

Communicate Professionally

Present financial and analytical insights clearly while working effectively in teams across business, finance and technology functions.

08

Think Globally & Ethically

Evaluate financial technology developments with awareness of professional responsibility, compliance, global markets and ethical considerations.

To Whom?

Who Is This Programme For?

Built for Future-Focused Students

This programme is ideal for students who are interested in finance but also want to understand how data, analytics and emerging technologies are reshaping the financial world.

01

Students Interested in Finance

Ideal for those who want to build a strong understanding of finance, banking, investments and modern financial services.

02

Students Interested in Data & Analytics

Suitable for learners who enjoy working with numbers, patterns, insights and data-driven decision-making.

03

Future FinTech Professionals

Designed for students who want to work in digital banking, FinTech products, blockchain, financial analytics or technology-enabled finance.

04

Business-Minded Problem Solvers

A strong choice for students who enjoy solving business problems and want to combine commercial thinking with analytical skills.

05

Students Seeking Modern Career Options

Well suited to students looking for opportunities across finance, analytics, compliance, digital products, consulting and technology-led organisations.

You do not need to be an experienced programmer to be interested in this pathway. The programme is designed around the combination of finance, analytics, business and technology.

Method Of Delivery

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