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Global Finance Analytics MSc PG Dip

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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, Postgraduate Diploma 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.

Key benefits

  • 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 robo-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.

• Future-proof your career with modern analytics topics including big data analytics, automated trading and FinTech. • Explore optional Masterclasses, pushing your areas of interest further. • Join a degree developed in collaboration with practitioners from leading financial institutions. • Taught from King’s Business School, ranked 1st in London for Business & Management Studies (The Complete University Guide 2021). • Six intakes a year for maximum flexibility (Jan, Mar, May, June, Sept, Oct). • Study 100% online, from wherever you are in the world.

Regulating bodies

King's is regulated by the Office for Students

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Teaching methods - what to expect

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.

Assessment

    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. 

    The study time and assessment methods detailed above are typical and give you a good indication of what to expect. However, they may change if the programme modules change.

    Structure

    Required modules

    PG Dip You are required to take:

    Quantitative Methods for Finance (15 credits)
    Investments (15 credits)
    Introduction to Statistical Programming (15 credits)
    Empirical Finance (15 credits)
    Computational Finance (15 credits)
    Introduction to Big Data Analytics (15 credits)

    MSc You are required to take:

    Quantitative Methods for Finance (15 credits)
    Investments (15 credits)
    Introduction to Statistical Programming (15 credits)
    Empirical Finance (15 credits)
    Computational Finance (15 credits)
    Introduction to Big Data Analytics (15 credits)
    Big Data & Deep Learning (15 credits)

    Optional modules

    PG Dip You are also required to take 30 credits of the following modules:

    Financial Statements (15 credits)
    Corporate Finance (15 credits)
    Behavioural Finance (15 credits)
    Financial Derivatives (15 credits)
    Financial Econometrics (15 credits)

    MSc You are also required to take 60 credits of the following modules:

    Financial Statements (15 credits)
    Corporate Finance (15 credits)
    Behavioural Finance (15 credits)
    Financial Derivatives (15 credits)
    Financial Econometrics (15 credits)
    Applied Risk Management for Banking (15 credits)
    Wealth Management (15 credits)
    Text Analytics & Fintech (15 credits)
    Global Tactical Asset Allocation (15 Credits)
    Research Project (30 credits)

    King’s College London reviews the modules offered on a regular basis to provide up-to-date, innovative and relevant programmes of study. Therefore, modules offered may change. We suggest you keep an eye on the course finder on our website for updates.

    Please note that modules with a practical component will be capped due to educational requirements, which may mean that we cannot guarantee a place to all students who elect to study this module.

    Employability

    King’s is ranked fourth in the UK and 21st in the world for graduate employability (Times Higher Education's Global Employability University Ranking 2020).

    Studying the online Global Finance Analytics programme is suitable for:

    • Finance professionals looking for career progression.

    • Finance professionals with a desire to specialise in the analytical elements of finance, such as big data or programming.

    • Professionals looking to change career.

    • Finance professionals wanting to work in academia.

    • Graduates seeking further education.

    Tuition Fees

    Your fees will be charged per module as you progress through the course. From now until September 2022, you will be charged £1,922 per module.

    The number of modules you take will be determined by your chosen award as outlined below:

    PG Dip: 8 modules (£15,376)

    MSc: 12 modules (£23,064)

    Tuition fees may be subject to an annual increase (capped at 5%) each academic year in line with King's College London's terms and conditions. Each increase comes into effect in September of each year.  From September 2022 onwards, modules will be charged at £1,970 per module.

    Additional Fees Information

    When you receive an offer for this course, you will be required to pay for your first module upfront, as a non-refundable deposit, to secure your place. This payment will be credited towards your total fee payment. Please note that a standard 14 day cooling off period will apply from the point of initial payment for your first module. Any subsequent payments are not subject to additional cooling off periods.

    The deposit cost for this course is the cost of one module (£1,922) plus a non-refundable application fee of £70. From September 2022, the deposit cost will be £1,970 plus a non-refundable application fee of £75.

    Student fees for the programme will be billed on a modular basis. Students are billed three weeks prior to the first day of teaching, with the due date being two weeks later (one week before teaching). If you no longer wish to study a module, you can take a break from your studies up until one week prior to the module starting. If payment has been made, the money will remain on your account as credit until you return.

    If you have registered for a PG Dip qualification but decide you wish to upgrade to a higher award, you will need to speak to your enrolment advisor. If you choose to upgrade your programme, you will enter a new cooling off period from the date of payment for your next module on the upgraded award. Any subsequent payments following this next module payment are not subject to additional cooling off periods.

    Additional Requirements & Costs

    Students will need access to a computer or tablet in order to complete the programme. Although KEATS is optimised for mobile, a desktop computer may be necessary for some parts of the course.

    We recommend using the latest version of Google Chrome, Mozilla Firefox, Apple Safari or Microsoft Edge; full functionality cannot be guaranteed in older or less commonly used browsers.

    Students will require access to a high-speed internet connection (4Mbps minimum).

    We will endeavour to make as much study material as possible available online, but you may also need to purchase some books during your studies.

    This is an online course and you are not expected to go to campus, should you wish to do so, there are some additional fees to pay for:

    • Books, ebooks or articles (if you choose to buy your own copies)
    • King’s campus Library fees and fines

    • Travel costs for travel around London and between campuses

    • Graduation costs

    Funding

    • Future-proof your career with modern analytics topics including big data analytics, automated trading and FinTech. • Explore optional Masterclasses, pushing your areas of interest further. • Join a degree developed in collaboration with practitioners from leading financial institutions. • Taught from King’s Business School, ranked 1st in London for Business & Management Studies (The Complete University Guide 2021). • Six intakes a year for maximum flexibility (Jan, Mar, May, June, Sept, Oct). • Study 100% online, from wherever you are in the world.

    Regulating bodies

    King's is regulated by the Office for Students

    Loading...

    Teaching methods - what to expect

    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.

    Assessment

      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. 

      The study time and assessment methods detailed above are typical and give you a good indication of what to expect. However, they may change if the programme modules change.

      Structure

      Required modules

      PG Dip You are required to take:

      Quantitative Methods for Finance (15 credits)
      Investments (15 credits)
      Introduction to Statistical Programming (15 credits)
      Empirical Finance (15 credits)
      Computational Finance (15 credits)
      Introduction to Big Data Analytics (15 credits)

      MSc You are required to take:

      Quantitative Methods for Finance (15 credits)
      Investments (15 credits)
      Introduction to Statistical Programming (15 credits)
      Empirical Finance (15 credits)
      Computational Finance (15 credits)
      Introduction to Big Data Analytics (15 credits)
      Big Data & Deep Learning (15 credits)

      Optional modules

      PG Dip You are also required to take 30 credits of the following modules:

      Financial Statements (15 credits)
      Corporate Finance (15 credits)
      Behavioural Finance (15 credits)
      Financial Derivatives (15 credits)
      Financial Econometrics (15 credits)

      MSc You are also required to take 60 credits of the following modules:

      Financial Statements (15 credits)
      Corporate Finance (15 credits)
      Behavioural Finance (15 credits)
      Financial Derivatives (15 credits)
      Financial Econometrics (15 credits)
      Applied Risk Management for Banking (15 credits)
      Wealth Management (15 credits)
      Text Analytics & Fintech (15 credits)
      Global Tactical Asset Allocation (15 Credits)
      Research Project (30 credits)

      King’s College London reviews the modules offered on a regular basis to provide up-to-date, innovative and relevant programmes of study. Therefore, modules offered may change. We suggest you keep an eye on the course finder on our website for updates.

      Please note that modules with a practical component will be capped due to educational requirements, which may mean that we cannot guarantee a place to all students who elect to study this module.

      Employability

      King’s is ranked fourth in the UK and 21st in the world for graduate employability (Times Higher Education's Global Employability University Ranking 2020).

      Studying the online Global Finance Analytics programme is suitable for:

      • Finance professionals looking for career progression.

      • Finance professionals with a desire to specialise in the analytical elements of finance, such as big data or programming.

      • Professionals looking to change career.

      • Finance professionals wanting to work in academia.

      • Graduates seeking further education.

      Tuition Fees

      Your fees will be charged per module as you progress through the course. From now until September 2022, you will be charged £1,922 per module.

      The number of modules you take will be determined by your chosen award as outlined below:

      PG Dip: 8 modules (£15,376)

      MSc: 12 modules (£23,064)

      Tuition fees may be subject to an annual increase (capped at 5%) each academic year in line with King's College London's terms and conditions. Each increase comes into effect in September of each year.  From September 2022 onwards, modules will be charged at £1,970 per module.

      Additional Fees Information

      When you receive an offer for this course, you will be required to pay for your first module upfront, as a non-refundable deposit, to secure your place. This payment will be credited towards your total fee payment. Please note that a standard 14 day cooling off period will apply from the point of initial payment for your first module. Any subsequent payments are not subject to additional cooling off periods.

      The deposit cost for this course is the cost of one module (£1,922) plus a non-refundable application fee of £70. From September 2022, the deposit cost will be £1,970 plus a non-refundable application fee of £75.

      Student fees for the programme will be billed on a modular basis. Students are billed three weeks prior to the first day of teaching, with the due date being two weeks later (one week before teaching). If you no longer wish to study a module, you can take a break from your studies up until one week prior to the module starting. If payment has been made, the money will remain on your account as credit until you return.

      If you have registered for a PG Dip qualification but decide you wish to upgrade to a higher award, you will need to speak to your enrolment advisor. If you choose to upgrade your programme, you will enter a new cooling off period from the date of payment for your next module on the upgraded award. Any subsequent payments following this next module payment are not subject to additional cooling off periods.

      Additional Requirements & Costs

      Students will need access to a computer or tablet in order to complete the programme. Although KEATS is optimised for mobile, a desktop computer may be necessary for some parts of the course.

      We recommend using the latest version of Google Chrome, Mozilla Firefox, Apple Safari or Microsoft Edge; full functionality cannot be guaranteed in older or less commonly used browsers.

      Students will require access to a high-speed internet connection (4Mbps minimum).

      We will endeavour to make as much study material as possible available online, but you may also need to purchase some books during your studies.

      This is an online course and you are not expected to go to campus, should you wish to do so, there are some additional fees to pay for:

      • Books, ebooks or articles (if you choose to buy your own copies)
      • King’s campus Library fees and fines

      • Travel costs for travel around London and between campuses

      • Graduation costs

      Funding

      Further information

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