Master of Science in Financial Intelligence

Applicants must meet the following entry requirements:

• A bachelor’s degree or higher in Finance, Accounting, Computer Science, Financial Technology, Information Technology, Statistics, Engineering, Economics, or other relevant technical disciplines from an accredited university.
• Applicants from other academic disciplines may be considered if they have at least two years of professional experience in accounting or finance.
• A minimum GPA of 2.5 out of 4.0. Applicants with a GPA of 2.0 may also be considered if they have relevant industry experience.
• Relevant professional accounting or financial qualifications may also be considered.
• A minimum of one year of relevant industry experience may be required, subject to seat availability.
• An IELTS score of 6.5, or evidence of a bachelor’s degree taught entirely in English.
• Applicants must demonstrate English language competency in accordance with the Bahrain Polytechnic Student Admission Policy.

Applicants may be required to attend an interview as part of the admission and selection process.

• Award: Master of Science in Financial Intelligence
• Duration: 2 Years
• Total Credits: 180 Credits
• NQF Level: Level 9
• Mode of Delivery: English

The programme is delivered primarily at Bahrain Polytechnic, incorporating on-campus learning, blended learning, lectures, seminars, workshops, practical projects, and industry case studies.
Students will also have the opportunity to participate in a 14-day residency at Shanghai University, providing international exposure and experience in China’s financial and technology sectors.

Year 1 – Semester 1

• AI Application in Financial Innovation
• Big Data Analytics in Finance
• Investment Strategies and Modelling Techniques
• Applied AI in Quantitative Finance

Year 1 – Semester 2

• RegTech, Policy and Compliance
• Machine Learning for Financial Forecasting and Valuation
• NLP and LLMs in Financial Analysis
• Research Methodology in Finance and Innovation

Year 2 – Semester 1

• Thesis Writing (Phase 1): Development and Initial Implementation

Year 2 – Semester 2

• Business Mandarin Basics for Financial Negotiations
• Thesis Writing (Phase 2): Refinement, Adaptation, and Final Dissertation

What Will You Learn?

Throughout the programme, students will develop the ability to:

• Apply artificial intelligence and machine learning techniques to financial analysis and decision-making.
• Analyse complex financial data using advanced analytical and computational tools.
• Evaluate investment strategies, financial risks, and market trends.
• Identify financial irregularities, fraud, and emerging risks through predictive modelling and data analytics.
• Understand regulatory technology, financial compliance, and ethical data practices.
• Develop AI-driven financial solutions and support strategic decision-making.
• Conduct independent research and develop innovative solutions to real-world financial challenges.

• 50 BHD Registration fees, (non-refundable & non-transferable
• 8,400 BHD the total program.

As part of its commitment to lifelong learning, Bahrain Polytechnic is pleased to offer a 20% tuition fee reduction on its Master’s programme for its alumni. We are keen on supporting our graduates towards their next academic journey and to be a part of our Polytechnic community.

The reduction will be applied after receiving an official offer and will be reflected in the tuition fees each semester upon payment. The reduction will be applicable to self-funded students only.