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Course options

  • Qualification

    Postgraduate Diploma

  • Location

    Run at the client site in the region of United Kingdom

  • Study mode

    Distance / Online

  • Start date

    27-SEP-21, 17-JAN-22

  • Duration

    2 years

Course summary

Overview

The finance industry is evolving at a rapid rate with transformations coming from big data analytics and digital techniques. The 100% online Global Finance Analytics MSc/PG Dip ties together the key principles of finance with the cutting-edge analytical concepts needed to thrive in today’s financial world. Building on financial foundations, you will explore contemporary aspects including artificial intelligence, investment analysis, big data, machine learning, and fintech developments. Studying this course will enable you to apply highly desirable learnt skills and knowledge to real-world financial situations, relevant today and in the future. Finance analytics provides a promising job landscape globally with fast-growing demand for employees with these skills. As technology continues to reach new heights, knowledge from this course will be essential well into the years ahead of us.

Course detail

Finance experts are essential across a range of industries, but companies are placing importance on data, searching out employees who can offer forward-thinking, predictive insights to shape the business practices of today and in the future. This course unlocks these skills, addressing the growing demand for analytics professionals. Global Finance Analytics MSc/PG Dip has been designed in close collaboration with leading financial industry practitioners and covers the fundamentals of advanced analytics in finance. Topics covered include big data techniques with a focus on applications in business and conduct risk management, as well as product origination and trading decision making. You will also explore more advanced topics such as robot-advice and fintech developments. A focus for teaching will be placed on reflective skills that not only enable students to assimilate methods but also allow them to identify their appropriate utility in a variety of real-world situations. This will be possible via real-world case studies, simulation exercises (including R and Python coding opportunities) and more. The modular design of the course provides both core topics and the chance for you to choose from a range of optional modules, depending on your own goals.

Teaching and assessment

This course has been designed specifically for a 100% online audience. It uses a range of interactive activities to support learning, including discussion forums, online readings, interactive lectures, videos, and online tutorials. Students are expected to undertake approximately 22 hours of study per week. In addition to the online learning resources designed specifically for this programme, students will have access to King’s College London’s Library Services, electronic resources, supportive online tutors, and student support services. Students are assessed through a combination of written coursework and online examinations. The assessment methods may vary between modules, but each module will include one or more of these methods.

Tuition fees

Students living in United States
(international fees)

£ 22,500per year

Tuition fees shown are for indicative purposes and may vary. Please check with the institution for most up to date details.

University information

King's College London, University of London

  • University League Table

    20th

  • Campus address

    King's College London, University of London, Strand, Westminster, WC2R 2LS, England

Subject rankings

  • Subject ranking

    14th out of 110 4

  • Entry standards

    / Max 236
    182 76%

    13th

    4
  • Graduate prospects

    / Max 100
    90 90%

    23rd

  • Student satisfaction

    / Max 5
    3.83 77%

    76th

    10

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