MSc Accounting and Financial Management
The University of Bristol's MSc in Accounting and Finance is designed to equip stud...
MSc Financial Technology with Data Science
Bristol - Clifton
INTAKE: September
Program Overview
The MSc Financial Technology with Data Science program at the University of Bristol offers a comprehensive curriculum that covers a wide range of topics related to FinTech and data science.
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Core Modules: Students study core modules that provide a solid foundation in financial technology, data science, programming, and data analysis.
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Specialization Options: The program allows students to specialize in areas such as blockchain technology, machine learning, artificial intelligence, and financial analytics, based on their interests and career goals.
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Practical Projects: Students engage in practical projects, collaborating with industry partners to gain hands-on experience and apply their knowledge to real-world challenges.
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Industry Visits and Guest Lectures: The University of Bristol maintains strong industry connections, and students benefit from industry visits and guest lectures, gaining insights from professionals in the FinTech sector.
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Research Opportunities: Students have access to research opportunities, allowing them to explore and contribute to groundbreaking advancements in FinTech and data science.
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Data Lab and Facilities: The university offers state-of-the-art data labs and facilities, enabling students to conduct sophisticated data analysis and modeling.
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Capstone Project: As a culmination of the program, students undertake a capstone project, applying their knowledge and skills to solve a significant FinTech problem.
Location
Bristol - Clifton
Score
IELTS 6.5
Tuition Fee
£ 30500
Postgraduate Entry Requirements:
- Applicants should have successfully completed a bachelor's degree or its equivalent from a recognized institution with a minimum overall score of 65% or equivalent.
- English language proficiency is required, and applicants must provide evidence of their English language skills through an approved language test.
- IELTS: A minimum overall score of 6.5 with no individual component below 6.
- TOEFL: A minimum overall score of 85, with at least 20 in Listening, 20 in Reading, 21 in Speaking, and 20 in Writing.
- PTE Academic: A minimum overall score of 65 with no individual score below 60.
- Some postgraduate programs may have specific subject prerequisites or additional requirements.
Students must provide:
- academic marksheets & transcripts
- letters of recommendation
- a personal statement - SOP
- passport
- other supporting documents as required by the university.
Work experience: Some postgraduate courses may require relevant work experience in the field.
It is important to note that meeting the minimum entry requirements does not guarantee admission, as the university considers factors such as availability of places and competition for the program. Additionally, some courses may have higher entry requirements or additional selection criteria, such as interviews or portfolio submissions.
The University of Bristol offers a range of scholarship opportunities to both domestic and international students.
- Vice-Chancellor’s Scholarship: This scholarship is offered to high-achieving students who are starting their undergraduate or postgraduate studies at the University of Bristol. The scholarship covers full tuition fees and a maintenance allowance.
- Think Big Scholarship: This scholarship is awarded to international students who have demonstrated exceptional academic merit and potential.
- Sanctuary Scholarship: This scholarship is awarded to asylum seekers, refugees, and their immediate family members who are seeking an undergraduate or postgraduate degree at the University of Bristol. The scholarship covers full tuition fees and a maintenance allowance.
Graduates of the MSc Financial Technology with Data Science program have a wealth of exciting career opportunities.
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Financial Technology Analyst: Graduates can work as FinTech analysts, leveraging data science techniques to develop innovative financial solutions and products.
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Data Scientist in Finance: Graduates can pursue roles as data scientists in the finance industry, analyzing vast financial datasets to inform decision-making.
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Blockchain Specialist: With a specialization in blockchain technology, graduates can work on implementing and improving blockchain-based financial systems.
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Machine Learning Engineer: Graduates with expertise in machine learning can work on designing and optimizing algorithms for financial applications.
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Quantitative Analyst: Graduates can become quantitative analysts, using their data analysis skills to model and forecast financial markets.
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Financial Consultant: Graduates may work as consultants, advising businesses on incorporating FinTech solutions to enhance their financial operations.
