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BSc (Hons) Finance with Data Analytics

Key information

With very close links with industry, commerce and relevant professional bodies, our business-related programmes are world-renowned for its teaching and research.

Programme code
KPT/JPS (N/0412/6/0061) (MQA/PA18349) 07/30
Level
Undergraduate
Delivery type
Full Time
Degree qualification
BSc (Hons)
Mode of delivery
On-Campus
Duration
3 years
Location
Malaysia
Start date
September

This BSc Finance and Data Analytics programme explores the interface between finance and data analytics, to meet the growing demand for financial practitioners who are well-equipped with both core knowledge of the financial markets as well as skills in data analytics. 

Besides learning key financial theories and concepts such as assets valuation, portfolio management and risk management, students will be exposed to contemporary topics such as blockchain technology, big data, machine learning, fintech and cryptocurrencies. In addition, students enrolled in this programme will learn programming languages such as Python to perform data analysis and financial modelling.

The overall aim of this programme is to equip students with both financial and data analytics proficiency and relevant industry skills to succeed in today’s data-driven world.

 

Your student experience

Teaching is delivered through a combination of lectures, tutorials and project work. Each course broadly requires four to five hours per week of contact time in classes and the equivalent in directed self-study during teaching weeks. Course assessment is generally based on either coursework or an exam at the end of the semester, or a mixture of the two at the end of the semester or academic year.

Course content

September intake - Malaysia

Mandatory September

  • The Economy
  • Fundamentals of Finance
  • Personal Finance and Investment Ethics
  • Introduction to Programming 1

Optional September

  • Self-Empowerment and Social Responsibility I
  • National Language A (MPU 3212)

Mandatory January

  • Statistical Techniques
  • Data Science Life Cycle
  • Financial Markets Theory
  • Database Management Systems

Optional January

  • Appreciation of Ethics and Civilisations
  • Malay Language Communication 2 (MPU 3143)
  • Self-Empowerment and Social Responsibility II
  • Integrity and Anti-Corruption (MPU3342)

Disclaimer

The courses mentioned above may change between now and the time that you study. For more information, please view our Terms and Conditions.

Fees and funding

StatusFull Time
LocalRM 39,300
InternationalRM 51,007.20

Entry requirements

We have standard entry requirements for all of our courses that you will have to meet.

  • Heriot-Watt University Malaysia Foundation in Business or Science: Grade C average
  • A-Level: CCC
  • STPM: GPA 2.33 Grade C+ in any 2 subjects
  • UEC: Maximum 26 points including a B6 in UEC Mathematics and B4 in UEC English (5 subjects not less than B grade)
  • IB Diploma: 27 points for 6 subjects
  • WACE/SACE: ATAR 65
  • Ontario Secondary School Diploma: 65% (average score based on 6 best Grade 12 relevant subjects including English)
  • Foundation: CGPA 2.5
  • China Senior High School Graduation Certificate: 70% including 60% in Mathematics
  • India Senior School Certificate/Class XII : 70% including C in Year 10 Maths
  • Indonesia SMA 3: 66% including C in Year 10 Maths

Why Heriot-Watt

We are committed to producing future-ready graduates with high-quality British education. Located in Putrajaya since 2014, Heriot-Watt University Malaysia's purpose-built, state-of-the-art, lakeside campus in Putrajaya is the first “green campus” in Malaysia; catering to a global network of students.

Ranked in the top 10 for Research Impact in the UK, with campuses in Scotland and Dubai, we offer students the opportunity of a truly global seamless learning experience flourishing beyond academic excellence through our Purpose Driven Education approach.

Employability

Potential career paths

  • Financial Analyst
  • Credit Analyst
  • Algorithmic Trader
  • Financial Automation Specialist
  • Investment Analyst
  • Risk Analyst
  • Corporate Financial Manager
  • Financial Data Scientist
  • Financial Consultant
  • Fund Manager

Student life

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