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MSc Finance and Data Analytics

Meet the growing demand for finance professionals with big data skills by studying our innovative Masters in Finance and Data Analytics.

Finance and Data Analytics

Key facts

  • Award Masters / MSc, Postgraduate Diploma, Postgraduate Certificate
  • Start date September
  • Duration 12 months
  • Mode of study Full-time, Stand-alone modules

As the modern financial industry increasingly turns to big data to inform investment decisions, there is a growing demand for professionals with a specialisation in data analytics. This course equips you with data analysis skills that are in short supply, including algorithmic trading, use of machine learning, and artificial intelligence.

As you study, you’ll develop core skills in finance, investments and data analytics – all of which can be applied in a final dissertation on a finance-related topic of your choice. You’ll also be taught how to use programming languages (e.g. Python, R) to analyse data and get a thorough understanding of core financial theory and investment practices. In addition, you'll have the opportunity to use professional financial databases, such as Bloomberg, Eikon and S&P Capital IQ.

Other features of the course include the Amplify Trading Boot Camp, where you can get first-hand experience of real-world trading, and the Student Managed Investment Fund, which provides experience of managing actual funds through targeted investments. All these features help to enhance employability, give you practical skills, and play a part in a world-leading student experience.

Watch the video below to find out more about the Amplify Trading Boot Camp.

  • Top reasons to study with us
  • Course objectives

    Over the course of your studies on this Masters course you will:

    • Gain deep understanding of finance theories
    • Acquire skills in programming languages
    • Develop knowledge and skills in analysing data to inform investment decisions
    • Enhance your critical and analytical skills
  • Professional accreditations

    The course offers students the opportunity to cover the prerequisite material of the Financial Data Professional (FDP) programme from the FDP Institute, using the DataCamp route. It thus helps you progress towards obtaining the FDP credential.

  • Flexible learning

    If you’re interested in studying a module from this course, the Postgraduate Certificate or the Postgraduate Diploma then please email Graduate Admissions to discuss your course of study.

  • Faculty facilities

    You'll have access to professional financial databases including Bloomberg, Thomson Reuters Eikon, Datastream, S&P Capital IQ and Financial Times.

    The course oprovides real-world experience by giving you the opportunity to participate to the Student Managed Investment Fund and Amplify Trading Boot Camp.

    The SMIF is a student-led project, aiming to provide students with the experience of managing actual funds through targeted investments with diversification according to agreed rules and procedures. Find out more about SMIF.

    Amplify is a global financial trading and training company, which provides training to some of the largest global financial institutions, including HSBC and Bank of America. During the Spring semester’s reading week, Amplify delivers a Boot Camp to our students, helping them to gain practical experience to financial markets driving factors. Learn more about the Amplify Trading Boot Camp.

  • Research

    The University of Stirling Management School is rated among the top 25 in the UK for research impact, according to REF 2014. In Scotland, the School was ranked in the top five. The Guardian University Guide 2020 ranks the University in the top 5 in Scotland for Accounting and Finance.

    64% of our research outputs were classified as world-leading and internationally excellent in terms of their originality, significance and rigour. We were ranked 14th in the UK in terms of research impact with over 60% of our research impact judged to have outstanding reach and wide-ranging impact on the policies of public, private and governmental organisations.

  • Academic requirements

    A minimum of a second class honours degree or equivalent. Applicants without these formal qualifications but with significant appropriate/relevant work/life experience are encouraged to apply.

  • English language requirements

    If English is not your first language you must have one of the following qualifications as evidence of your English language skills:

    • IELTS: 6.0 with 5.5 minimum in each skill
    • Cambridge C2 Proficiency (CPE) 180 with minimum 162 in each skill
    • Cambridge C1 Advanced (CAE) 169 with minimum of 162 in each skill
    • Pearson Test of English (Academic): 54 with 51 in each component
    • IBT TOEFL: 80 with no subtest less than 17

    For more information on ways that you can meet our English language requirements, including options to waive the requirement, please read our information on English language requirements.

  • Pre-sessional English language courses

    If you need to improve your English language skills before you enter this course, our partner INTO University of Stirling offers a range of English language courses. These intensive and flexible courses are designed to improve your English ability for entry to this degree.

    Find out more about our pre-sessional English language courses.

Our MSc Finance and Data Analytics course provides all the necessary tools for a successful career in the financial industry. You’ll learn how to use programming languages (e.g. Python, R) to analyse data and get a deep understanding of core financial theory and investment practices.

The first semester of the program is devoted to developing core financial and data analytics skills. In the second semester, you can choose from a wide selection of modules that will allow you to further strengthen your skills in data analytics and investments. During the summer, you’ll write a dissertation on a finance-related topic of your choice, applying the skills you’ve learned during the year.

 

Modules

The modules listed below are those currently intended for delivery in the next academic intake of this course. These may be subject to change as the University regularly revises and refreshes the curriculum of our taught programmes.

Course Details

  • Teaching

    Teaching is carried out through lectures, seminars, problem-solving lectures, computer workshops and practical case study sessions.

    Guest lectures

    As a student on the MSc Finance and Data Analytics you’re given the chance to go to regular guest lectures. These are typically held on a Wednesday afternoon and are delivered by eminent speakers drawn from leading financial institutions, think tanks, regulatory and professional bodies. Previous speakers include:

    • Russell Napier - Co-founder of ERIC (Electronic Research Interchange)
    • Nick Bartlett - Director of Education at CFA Society of the UK
    • Ross Lorrimer - Client Service Associate at State Street
    • Maxim Skorniakov - Investment Manager at Walter Scott Global Investment Management
    • Richard Dunbar - Head of Economic and Thematic Research at Aberdeen Asset Management
    • Kweku Adoboli - Former Trader at UBS
    • John Goodwin - Executive Vice-President and CFO at Lego
    • Colin McLean - CEO at SVM Asset Management
  • Assessment

    Our Masters degree is awarded on satisfactory completion of a dissertation, following the Diploma examinations. Dissertation topics range over all areas of relevance to finance and data analytics.

  • Classroom hours

    Students can expect to have around 4-5 contact hours per module each semester and a timetable will be available shortly before the course begins in September.

  • Course director
  • Key staff

    Dr Kevin Campbell - Corporate Finance; Derivatives

    Dr Kevin Swingler - Representing and Manipulating Data

    Dr Maria Grydaki - Quantitative Methods in Finance

    Dr Andrea Bracciali - Blockchain Technologies

    Dr Alexander Brownlee - Data Analytics

    Prof. Danny Campbell - Applied Data Analytics Using R

    Dr David Cairns - Cluster Computing

    Dr Andrew Hoyle - Stochastic Processes and Optimisation

    Prof. David McMillan - Empirical Methods in Finance and Accounting

    Dr. Dionysia Dionysiou - Investments: Equity Portfolios and Pricing; Risk Management and Assessment

    Dr. Patrick Herbst - Investments: Fixed Income and Alternative Investment; Behavioural Finance

    Dr Carole Dalgleish - Investment Regulation and Ethics

  • Fees and costs

    Fees shown are per year (fees are different for each course)

      2020/21

    Home/EU Students

    Fees shown are for full-time, one-year Masters course*

    If you’re domiciled in Scotland, you may be eligible to apply to the Students Award Agency for Scotland (SAAS) for a loan of up to £10,000 to cover your tuition fees and associated living costs. Students domiciled in the EU can also apply for tuition fee support, although may not be eligible to receive funding to support living costs.

    If you're domiciled in England, Wales and Northern Ireland, you should be eligible to apply for a loan from your regional body.

    English students apply for a loan of up to £10,609 per year as part of the UK Postgraduate Loan Scheme, Welsh students can apply for a non-means tested loan of up to £13,000 from the Welsh Government and Northern Irish students are eligible to apply for support of up to £5,500.

    *Fees for students who apply for a Postgraduate Diploma or Postgraduate Certificate will be paid on a pro-rata basis.

    If the course is taken over two years then the fee will be split evenly over the two years. Fees are not pro-rated for students who enrol on a Masters course and decide to exit with a Postgraduate Diploma - the full fee is charged.

    £8,500

    Overseas (Non-EU) Students

    Fees shown are for full-time, one-year Masters course. Fees for students who apply for a Postgraduate Diploma or Postgraduate Certificate will be paid on a pro-rata basis.

    If the course is taken over two years then the fee will be split evenly over the two years. Fees are not pro-rated for students who enrol on a Masters course and decide to exit with a Postgraduate Diploma - the full fee is charged.

    £18,950

    Please note: You will be liable to pay tuition fees for every year you’re in attendance, and your fees will be held level upon entry. If you need to extend your period of study, you may be liable for an additional fee.

  • Scholarships and funding

    If you have the talent, ability and drive to study with us, we want to make sure you make the most of the opportunity – regardless of your financial circumstances.

    Learn more about available funding opportunities or use our scholarship finder to explore our range of scholarships.

  • Additional costs

    There are some instances where additional fees may apply. Depending on your chosen course, you may need to pay additional costs, for example for field trips. Learn more about additional fees.

  • Cost of living

    If you’re domiciled in the UK, you can typically apply to your relevant funding body for help with living costs. This usually takes the form of student loans, grants or bursaries, and the amount awarded depends upon your personal circumstances and household income.

    EU and overseas students won’t normally be able to claim living support through SAAS or other UK public funding bodies. You should contact the relevant authority in your country to find out if you’re eligible to receive support.

    Find out about the cost of living for students at Stirling

  • Payment options

    We aim to be as flexible as possible, and offer a wide range of payment methods - including the option to pay fees by instalments. Learn more about how to pay

You’ll graduate from the MSc Finance and Data Analytics course with the skills to meet the modern financial industry’s demand for the use of big data to inform investment decisions. Our innovative week-long global financial boot camp run by Amplify will give you real-world experience of trading, while our guest lecturer programme gives you the chance to learn from, and network with, industry leaders.

This course opens up a range of exciting career opportunities, including:

  • Fund management
  • Security dealing
  • Financial engineering
  • Management consultancy
  • Corporate finance
  • Data analysis work within investment and central banks, and accountancy firms

The University of Stirling Management School has a dedicated Employability Manager and from the very beginning of the course your career is our focus.

  • You’ll take part in an innovative week-long global financial trading boot camp run by Amplify
  • 96% of our postgraduate leavers are in employment or further study within six months of graduating (Destinations of Leavers from Higher Education survey 2016/17)
HigherEd Global Talent Portal

As a Management School student, you'll have access to the HigherEd Global Talent Portal where you’ll find internships, trainee positions, apprenticeships and graduate positions from companies around the world. It helps international students looking for placements back at home and local students that want to explore an international experience.

The global talent portal is in addition to all other existing initiatives and resources available for you through the Careers and Employability Service, and the Target Connect vacancy and events system.

  • Employability skills

    Everything you do while studying here is designed to help you build the personal skills that will make you stand out to future employers. You’ll start your MSc course on our Flying Start leadership programme which will challenge your perspective of culture and develop your self-awareness, as well as team-working, problem-solving and presentation skills.

  • Companies we work with

    As a student on the MSc Finance and Data Analytics you’re given the chance to go to regular guest lectures. These are typically held on a Wednesday afternoon and are delivered by eminent speakers drawn from leading financial institutions, think tanks, regulatory and professional bodies. Previous speakers include:

    • Russell Napier - Co-founder of ERIC (Electronic Research Interchange)
    • Nick Bartlett - Director of Education at CFA Society of the UK
    • Ross Lorrimer - Client Service Associate at State Street
    • Maxim Skorniakov - Investment Manager at Walter Scott Global Investment Management
    • Richard Dunbar - Head of Economic and Thematic Research at Aberdeen Asset Management
    • Kweku Adoboli - Former Trader at UBS
    • John Goodwin - Executive Vice-President and CFO at Lego
    • Colin McLean - CEO at SVM Asset Management
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