Many experts highlight the potential for Financial Technology (FinTech) to make finance more accessible for those most in need and the FinTech sector in emerging markets and developing economies saw particularly strong growth – as much as 40% in the Middle East and North Africa
DurationProgramme Outline:
Awarded by University of London, UK and Developed by the Member Institution, Goldsmiths, University of London, UK.
Many experts highlight the potential for Financial Technology (FinTech) to make finance more accessible for those most in need and the FinTech sector in emerging markets and developing economies saw particularly strong growth – as much as 40% in the Middle East and North Africa. Globally, finance apps alone were downloaded more than four billion times in 2020.
This has disrupted the banking and finance industry too – from international banks to back-room start-ups - and changed the way we handle money.
This innovative programme will provide graduates with in-demand quantitative and analytical skills necessary to embark on a successful career in FinTech or in the financial services sector.
The programme combines technology from big data and analytics, mobile computing and modern financial services, to enable better decision-making for organisations.
The required modules will allow the student to gain a strong foundation of knowledge, as well as practical experience and the opportunity to tailor learning to meet individual career ambitions.
Prerequisite(s)
Candidates entering this programme via Entry Route 2, are required to complete an online preparatory course. For details, go to the Admission Criteria section.
Accepted Entry Qualifications
Entry Route 1:
Applicants must have the following:
A bachelor's degree (or an acceptable equivalent) in a *relevant subject which is considered at least comparable to a UK second class honours degree, from an institution acceptable to the University of London.
Entry Route 2
If applicants do not meet the above academic requirements, their applications may be considered based on the following
A bachelor's degree (or an acceptable equivalent) in any subject which is considered at least comparable to a UK second class honours degree, from an institution acceptable to the University of London and the successful completion of the online preparatory course, Foundations of Data Science, prior to registration.
There is no entry test requirement for the MOOC course. However, there will be assessment during and at the end of the MOOC course.
Who We Are
For close to 60 years, SIM has innovated as a learning institution, with our commitment to lifelong learning deeply ingrained in our philosophy. We are dedicated to developing and upskilling talent, growing
In the global workforce. Our goal is to provide learning experiences and solutions that transform higher education, accelerate professional development, and build leadership capacity for managing complexity. Our focus is to integrate learning in the workplace to improve employability and the ability to pivot and grow organisational success.
As a comprehensive learning institution, we cover the gamut of learning with our two core entities – SIM Global Education and SIM Academy.
SIM Global Education connects future leaders that come through our doors with globally recognised education programmes. We harness new knowledge, skills, and technology to transform learning and shape future talent with critical skills and knowledge to thrive in a diverse, complex, and interconnected world.
Through our partnerships with renowned universities, a diverse and inclusive learning environment, and industry-relevant programmes, we develop graduates with industry skills, knowledge, and cultural intelligence to be career-ready and excel in a globalised society.
Professional Development
Offering a comprehensive range of upskilling and career enhancing programmes and solutions tailored for working professionals. We aim to empower working professionals with the knowledge, skills, and competencies to become change-makers who can lead and contribute effectively to today’s volatile and uncertain business landscape. Complementing this, our
Enterprise Solutions
purpose is dedicated to partnering with organisations to develop their talent and human capital, to align their workforce with corporate strategic goals, through fostering a culture of continuous learning.
Our unwavering commitment to excellence drives us to foster innovation and forge strong collaborations to provide high-quality education and learning that prepares individuals for success in an ever-changing world.
At the core of our mission, we aspire to create a lasting, positive impact on the lives of our students and learners, shaping the future of Singapore and extending our influence beyond. Our tagline, Learn for Life, Thrive for Life, encapsulates the values we inculcate into all learners, as learning never stops at SIM.
The Master of Science in Data Science and Machine Learning (DSML) is an interdisciplinary graduate degree programme designed to nurture the next generation of leaders in data science.
This hybrid program combines faculty resources of a Top Business School and a Top Engineering School, in Paris and Singapore, to provide a unique and innovative 2-year program (M1+M2) or 1-year program (M2 only), depending on your previous degree and background.
The msc data science is a conversion msc, designed for students from a broad range of disciplines who wish to enhance their existing knowledge and skills in order to open up career opportunities in data science.
Data scientists use a range of computational and statistical techniques to unlock insight from data and solve complex problems. This emerging profession sits at the cutting-edge of computer science and graduates are increasingly in demand from industry.
Data is ubiquitous in government and in industry sectors including banking, insurance, healthcare, telecommunications, manufacturing, and retail.
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