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Economics for Business Intelligence and Systems MSc

University of Bath

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University of Bath

Course options

  • Qualification

    MSc - Master of Science

  • Location

    University of Bath

  • Study mode

    Full time

  • Start date

    01-SEP-25

  • Duration

    1 year

Course summary

Develop sought-after skills in quantitative economics and business, on this innovative, cross-disciplinary master鈥檚.

As businesses seek to innovate and develop in the 21st century, there is a growing need for economists with broader knowledge and skills, who can effectively input into new products and policies.

This is borne out in The UK Government鈥檚 鈥業ndustrial Strategy 鈥� Building a Britain fit for the future, which calls for a new type of university graduate and manager: one who can operate successfully at the interface of economics, business, mathematics and computer science.

Bringing together extensive expertise from across the Departments of Economics, Computer Science and Mathematical Sciences, and the School of Management, this MSc sets out to educate and prepare economically literate scientists, and scientifically confident economists, for the future.

The course has a strong quantitative focus, while also covering other relevant areas such as computer programming, software development and econometrics. You will learn to apply economic and mathematical units and programs to real-business problems, while building a compelling set of skills in areas such as data analysis, data mining, software applications and statistics.

The cross-disciplinary nature of the course makes it noticeably different from other economics master鈥檚 course. You will be taught by subject specialists in each field, allowing you to study each topic in greater depth. Developed with close input from well-known employers, and the relevant departments from across the University in combination, the course offers a coherent, and mutually-complementary, mix of technical and soft skills.

The units culminate in a special Practice Track project in the summer, where you will apply what you have learnt to a consultancy project with one of our partner employers during a week-long residential. This may be an intense online residential or held at a specific location. Further details will be available nearer the time.

You will benefit from our well-established business connections across a variety of sectors, both in the UK and overseas.

This course is particularly relevant if you are seeking to build both quantitative and commercial expertise, and have studied a STEM subject at undergraduate level.

Graduate prospects

Your strong disciplinary grounding in both quantitative economics and business will make you sought after across multiple industries and sectors.

Your skills will be particularly relevant to technology companies, consultancy firms, and finance and banking organisations, but also applicable to other business sectors, government and academia.

You could go on to work as a data analyst, credit analyst, financial analyst, economist or business analyst.

You could also progress your studies to doctoral level.

Application deadline

31 August 2024

Tuition fees

Students living in Hong Kong
(International fees)

拢 25,000per year

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

University information

University of Bath

University of Bath

University of Bath

  • University League Table

    8th

  • Campus address

    University of Bath, Claverton Down, Bath, Bath And North East Somerset, BA2 7AY, England

VIEW PROFILE
The university's community comprises over 20,000 students. Around one-third come from outside the UK, representing 152 nationalities from around the world.
The International Support Service offers an international orientation programme and mentoring scheme to help students settle into life in the UK.
University of Bath alumni can be found contributing positively in countries worldwide. Many continue their association with Bath long after graduation.

Subject rankings

  • Subject ranking

    Computer Science

    8th out of 117 2

    9th out of 79 1

  • Entry standards

    / Max 227
    196 86%

    11th

  • Graduate prospects

    / Max 100
    94.0 94%

    9th

    9

  • Student satisfaction

    / Max 4
    3.07 77%

    38th

    19

  • Entry standards

    / Max 227
    182 80%

    12th

  • Graduate prospects

    / Max 100
    96.0 96%

    2nd

    1

  • Student satisfaction

    / Max 4
    3.02 75%

    39th

    13

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