Eligibility Requirements for MSc in Fintech and Data Analytics
Academic Eligibility:
Indian students are eligible to apply if they complete one of the following eligibility criteria:
79%
12th percentage
6.5/10
Bachelor's GPA Requirement
Any Related Discipline degree
UG Requirement
Test Scores Requirement
Exam | Requirement |
---|---|
6.5 | |
88 | |
59 | |
125 |
Program Eligibility URL:https://www.westminster.ac.uk/accounting-and-finance-data-science-and-informatics-courses/2024-25/september/full-time/fintech-with-business-analytics-msc#entry_requirements
MSc in Fintech and Data Analytics Rankings
About University of Westminster
University of Westminster: A Comprehensive Overview
As a firm with a keen interest in education and talent development, we have compiled a detailed summary of the University of Westminster. Our focus is to provide insights into the university's offerings, reputation, and potential collaborations. Below is an organized overview from our perspective:
Academic Excellence and Courses
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Career Development and Alumni Network
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The University of Westminster stands out as a distinguished institution that combines academic rigor with practical experience, set against the backdrop of one of the world's most vibrant cities. Its dedication to offering a diverse, inclusive, and dynamic environment makes it an attractive option for prospective students and potential collaborators.
MSc in Fintech and Data Analytics Program Description
MSc in FinTech with Business Analytics at the University of Westminster
As an abroad consultancy focused on guiding students toward fulfilling educational and career paths, we highly recommend the MSc in FinTech with Business Analytics at the University of Westminster for those looking to forge a future in the evolving landscape of digital finance. Here are critical aspects of the program and university that potential students should consider:
University of Westminster's Prestige and Location
Comprehensive Course Structure of MSc in FinTech
Curriculum Overview:
Academic and Practical Learning:
Industry Connections and Real-World Application:
Learning Outcomes:
The MSc in Financial Technology at the University of Westminster represents an exceptional opportunity for students aiming to excel in the dynamic field of FinTech. By blending academic rigour with practical experience and offering close ties to the financial industry, this program positions graduates for success in a fast-paced global market.
University of Westminster MSc in Fintech with Business Analytics Program Curriculam
Program Curriculum URL:https://www.westminster.ac.uk/accounting-and-finance-data-science-and-informatics-courses/2024-25/september/full-time/fintech-with-business-analytics-msc#careers
The University of Westminster MSc in Fintech with Business Analytics is an innovative course designed for learners who wish to specialise in one of the most exciting areas of finance and gain a deeper understanding of finance applications that are transforming the financial services sector.
Semester 1
The first semester provides detailed coverage of global financial markets, institutions and their services and securities, alongside a thorough introduction to key aspects of FinTech.
Encompassing both quantitative and qualitative methods, you'll build your knowledge of business analytics, together with the basic programming (Python) and analytical techniques required for using computational methods in finance. You’ll learn how to use standard industry-based mathematical and statistical packages (eg SPSS) and select from the range of analytic techniques to analyse current data accessible via Bloomberg or Data Stream.
Semester 2
In the second semester, the University will examine new, more complex emerging technologies, including blockchain, original and new types of cryptocurrencies, artificial intelligence (AI), machine learning (ML) and predictive analysis. You'll gain detailed knowledge and advanced learning of various AI/ML techniques, including logistic regression, decision tree, Naive Bayes and others, to solve problems or undertake projects in capital markets, asset portfolios and risk management contexts.
To better prepare you to predict future or unknown outcomes in the financial services sector, you’ll learn about big data management, data mining methods and decision-support in a variety of financial services contexts, such as corporate finance, forecasting in capital markets, credit risk, fraud detection and in asset management. The course culminates with a work placement with one of our many financial services partner organisations or a research project in an area of your choice.
Core Courses
The University of Westminster MSc in Fintech with Business Analytics Core Courses
The following modules are indicative of what you will study in this course.
Core Modules
- Financial Markets and Institutions
- Business Analytics
- Computational Methods for Finance
- Banking Technology
- Blockchain Technologies and Cryptocurrencies
- Artificial Intelligence and Machine Learning in Finance Services
- Predictive Analysis for Decision-Making
- Project (FinTech with Business Analytics) OR Work Placement Project
Option Modules
- Big Data Theory and Practice
- Evidence Law
- High-Frequency Trading
- Legal Aspects of International Banking
- Legal Aspects of International Finance, Sustainability and Innovation
- Managing Cyber Crime
RegTech and Financial Crime
MSc in Fintech and Data Analytics Acceptance Rate
Acceptance rate for The University of Westminster MSc in Fintech with Business Analytics
The University of Westminster has a 76% acceptance rate, indicating moderate selectivity.
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What makes University of Westminster MSc in Fintech with Business Analytics unique?
Top reasons to study with the University of Westminster for an MSc in Fintech with Business Analytics:
MSc in Fintech and Data Analytics Contact Information
Whom should I contact in case of any doubts?
You can contact the University of Westminster through the following methods:
Phone: +44 (0)20 7911 5000 EXT 65511
Opening hours (GMT): 10 am – 4 pm, Monday to Friday
Email: course-enquiries@westminster.ac.uk
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