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    Covid-19 information and FAQs for applicants, students and staff >

    Data Science with Applied Business Informatics with Integrated Master's - MSci

    Year of entry
    2022
    Course type
    Integrated Master's
    Duration of study
    4 years / 5 years with international or placement year
    Location
    Keele University campus
    Subject area / School
    School of Computing and Mathematics
    Keele Business School
    UCAS code
    G424
    • Entry requirements

      • Keele Undergraduate Enquiries Form

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    Course overview

    Our Integrated Master’s degree in Data Science with Applied Business Informatics will bring the core subject knowledge to a higher level, enabling you to become an independent decision maker for a specialist career in data science, business or finance, or for doctoral research.

      Keele Undergraduate Enquiries Form

      Please submit your question in the form below and a member our enquiries team will be in touch with you shortly.











      Upon submitting this form, your enquiry will be forwarded on to our enquiries team who will contact you  to answer your question and provide further details about the course that you are interested in.

      Your Preferences




      What we’re going to do with your data and why?

      We will securely store your data and send you essential information (examples include updates on an application or booking confirmations for events such as Open Days).

      We would also like to send you useful information about studying at University (particularly Keele) and/or the courses that you have shown an interest in. To do this we need your consent and information on which communication channels you would like to hear from us on (please see opt-in boxes above).

      We will never sell your data to a third party. We only ever share data with companies involved in helping us communicate with you or helping us to manage your data (examples include; Online forms, Printers, Postal services, other University partners etc).

      How long are we keeping it?

      We will keep your data for the year that you first enquire with us plus 6 subsequent years. This is to ensure that you are legally protected should you have any issues with the use of your data.

      Unsubscribe

      By selecting no to the preferences above you will have unsubscribed, however, this does not mean that your data has been deleted. If you would like to invoke your right to be forgotten please refer to the section below.

      What to do if I change my mind?

      To change your preferences after you have closed this form, simply reopen the link to this page. For further information about how your data is held, including your right to be forgotten, please contact dpa@keele.ac.uk

    Top 10

    for Student Experience Times Good University Guide, 2020

    Winner

    Global Sustainability Institution of the Year Green Gown Awards, 2020

    96%

    Graduate Employability HESA - Destinations of Leavers from Higher Education, 2017

    Student testimonials

    Course content

    The MSci programme complements our Single Honours Data Science with Applied Business Informatics course with an additional year at Master's level. The first three years will give you a solid understanding of the business context of AI and data science applications, and a well-grounded knowledge of the principles and methods from mathematics, statistics and computer science.

    The final year will further strengthen your independent critical thinking, problem solving, professional and research skills. You will focus on advanced technical topics, including time series models, cloud computing; specialised subjects such as international finance, international business and multinational accounting; as well as on your personal development through a range of different modules.

    Finally, you will undertake a substantial research project, analysing current issues in industry or research, under the guidance of an experienced supervisor.

    RELATED COURSES

    Data Science is also available as a Combined Honours degree. It can be studied in the following combinations:

    You may also be interested in:

    Course structure

    The module details given below are indicative, they are intended to provide you with an idea of the range of subjects that are taught to our current students. The modules that will be available for you to study in future years are prone to change as we regularly review our teaching to ensure that it is up-to-date and informed by the latest research and teaching methods. The information presented is therefore not intended to be construed and/or relied upon as a definitive list of the modules available in any given year.

    Year 1 Indicative Modules

    Compulsory Modules:

    • Programming I - Programming Fundamentals
    • Introduction to Data Science I
    • Accounting Principles
    • Mathematical Techniques for Data Science
    • Communication, Confidence and Competence
    • Introduction to Data Science II
    • Statistics
    Year 2 Indicative Modules

    Compulsory Modules:

    • Programming II - Data Structures and Algorithms
    • Computational and Artificial Intelligence I
    • Visualisation for Data Science
    • Database Systems
    • Applied Deep Learning
    • Professional Mathematics and Data Science

    Optional Modules:

    • Finance I*
    • Web Technologies
    • Probability
    • Individual Study Topic in Computer Science
    • Advanced Programming Practices
    • Software Engineering
    • Linear Statistical Models
    • Operational Research
    • Introduction to Econometrics*

    *Students must choose a minimum of 15 and a maximum of 30 credits between these modules. Each optional module is worth 15 credits.
    Year 3 Indicative Modules

    Compulsory Modules:

    • Machine Learning Applications
    • Data Mining
    • Third Year Double Project - ISP
    • Computational and Artificial Intelligence II
    • Data Ethics and Security

    Optional Modules:

    • Bioinformatics
    • Game Theory
    • Applied Financial Analysis*
    • Investment Management*
    • Advanced Databases and Applications
    • Advanced Web Technologies
    • Medical Statistics
    • Risk Management with Derivatives*

    *Students must choose a minimum of 15 and a maximum of 30 credits between these modules. Each module is worth 15 credits.
    Year 4 Indicative Modules

    Compulsory Modules:

    • Advanced Topics in Machine Learning
    • MSci Project

    Optional Modules:

    • Distributed Intelligent Systems
    • Internet of Things
    • Time Series Models and Analysis
    • Smart Grid and the Energy Transition
    • Research Horizons
    • Portfolio Management and Investment Analysis*
    • Cloud Computing
    • Web Technologies and Security
    • Derivative Instruments*
    • Fixed Income Securities and Credit Risk*
    • FinTech and Mobile Banking*
    • Green Finance*
    • Bank Risk Management*

    *Students must choose a minimum of 30 and a maximum of 45 credits between these modules. Each optional module is worth 15 credits.

    Variations to 2020/21 courses

    Entry requirements

    The entry grades outlined in this section indicate the likely offer or range of offers which would be made to candidates along with any subject specific requirements. This is for general information only. Keele University reserves the right to vary offer conditions depending upon a candidate’s application. Read more about our undergraduate entry requirements for United Kingdom, European Union and International students.

    A Level requirements

    • BBC

    GCSE requirements

    • Mathematics at C (or 4)
    • English Language/Literature at C (or 4)

    BTEC

    • DMM

    International Baccalaureate

    • 29 points

    Access to HE Diploma requirements

    • Obtain Access to Higher Education Diploma with 112 UCAS Tariff points including a minimum of 15 Level 3 credits at Distinction.

    PREPARATION PROGRAMMES FOR INTERNATIONAL STUDENTS

    International students who do not meet the direct entry requirements for this course have the opportunity to study an International Foundation Year programme.

    These courses are designed to prepare international students to enter into Keele University undergraduate degrees.

    Foundation year

    You may choose to study this course via foundation year.

    If you’re returning to education following a break, wish to study a new subject or don’t have the grades or sufficient equivalent experience for direct entry to this course, a foundation year may be a good option for you.

    Following successful completion (including any additional progression requirements) of the foundation year you can progress on to this course.

    The foundation year offers September starts across all subjects, and January starts across all science, humanities, social sciences and business routes.

    The January intake excludes the Veterinary Medicine and Surgery degree with Foundation Year and other health-related foundation Year degree

    For more details visit our foundation year webpages.

    Foundation year

    Foundation Year Overview

    If you do not meet the requirements for direct entry into the BSc (Hons) Data Science with Applied Business Informatics course, our Foundation Year can provide an alternative route into your degree. 

    Keele University is consistently ranked among the top universities for student satisfaction, and we have over 70 years’ experience of teaching a foundation year to students. On the Keele Foundation Year, you’ll study on campus, joining our community from the outset, and you will have access to a range of support.

    Read on to find out about:

    • Foundation Year indicative modules for the September intake
    • Foundation Year entry requirements
    • How to apply
    • UCAS code for this course

    The information within this page is for students wishing to start their studies in September. If you would like to start this course in January, please visit our January pages for further details.

    Course Content

    Our Foundation Year allows you to develop your critical thinking, academic reading, writing, and communication study skills along with subject-specific knowledge and skills which will be invaluable in your academic studies and beyond. Upon meeting the progression criteria and successfully completing our Foundation Year, you will automatically progress into your Keele undergraduate degree with the confidence that you have the skills, and knowledge needed to successfully complete your course.

    This Foundation Year is a two-semester programme which provides a tailored pre-degree programme of study to better prepare you for the BSc (Hons) Data Science with Applied Business Informatics course. For example, the Foundations of Computational Theory and Programming module will introduce you to the key principles of Computer Science and programming.

    Find out more about the Keele Foundation Year, including information about teaching and assessment methods by visiting the Foundation Year homepage. 

    Course Structure

    The module details given below are indicative, they are intended to provide you with an idea of the range of subjects that are taught to our current students. The modules that will be available for you to study in future years are prone to change as we regularly review our teaching to ensure that it is up-to-date and informed by the latest research and teaching methods. The information presented is therefore not intended to be construed and/or relied upon as a definitive list of the modules available in any given year.

    Semester One

    FYO-00221 Foundations of Computational Theory and Programming 30 credits
    FYO-00217 Foundations of Mathematical Methods 30 credits

    Semester Two

    FYO-00225 Advancing Programming 15 credits
    FYO-00227 Advancing Computing: Client-Led Collaborative Design 15 credits
    FYO-00233 Advancing Applied Maths and Computing - Making Decisions 15 credits
    FYO-00235 Advancing Applied Maths and Computing - Logic, Codes & Cryptography 15 credits

    ENTRY REQUIREMENTS

    The entry grades outlined in this section indicate the likely offer or range of offers which would be made to candidates along with any subject specific requirements. This is for general information only. Keele University reserves the right to vary offer conditions depending upon a candidate’s application. Read more about our undergraduate entry requirements for United Kingdom, European Union and International students.

    • Between 40-56 UCAS points from at least 1 A level/level 3 qualification or equivalent, or
    • Relevant work experience

      AND

    • GCSE English Language at grade 4 (C), or 
    • IELTS 5.5 (with 5.5 in all subtests)

    AND

    • GCSE Mathematics at grade 4 (C) or above

    How to Apply 

    Applicants will need to apply for BSc (Hons) Data Science with Applied Business Informatics with Foundation Year (UCAS code G428) through UCAS at www.ucas.com.

    Direct Entry Students

    If you already have your qualifications, are not expecting any further results and only wish to apply to Keele, please contact the Admissions Office directly.

    Information for International Students

    International students who do not meet the entry requirements for this integrated foundation year course may be eligible to study an International Foundation Year stand alone programme.

    Please visit the International Foundation Year pages for information on how to apply, entry requirements and course details.

    To find additional course information to complement the information on this tab, please view our Foundation Year programme specifications.

    Fees and funding

    Going to university can be a daunting as well as an exciting experience. It can be difficult to understand the true costs of being a student, as well as the financial support that is available to help you meet those costs.

    We can help you to manage your funds, create a budget and ensure that you receive any funding for which you may be eligible. We also offer financial support such as the Keele University Hardship Fund and emergency loans.

    For more information visit our money, advice and guidance section.

    Career prospects

    96% of Keele graduates were in a job or further study within six months of graduating (DLHE, 2017)

    Our degree will provide you with a wide range of analytic and employability skills, plus a high developed approach to problem solving.

    As an MSci graduate you will have knowledge of advanced areas such as economics, finance, accounting, machine learning and data models that also lead to more specialist careers or doctoral research. Primary professional outlets are within the finance and business sectors, including business intelligence and e-commerce, but also in data analytics, healthcare and transport.

    Our Data Science degree is also great preparation for employment in related fields including management consultancy, software development, accountancy, engineering and teaching, and opens the way to further academic study.

    Jobs that a graduate of this course could go on to do:

    • IT Consultant
    • Database Administrator
    • Systems Analyst
    • Multimedia Programmer
    • Games Developer
    • IT Technical Support Officer
    • Network Engineer
    • Information Systems Manager
    • Secondary Teacher
    • IT Trainer
    • Forensic Accountant
    • Animator
    • Operational Researcher
    • Air Traffic Controller

    Regardless of which career you pursue after Keele, employers will want evidence of the range of skills and personal qualities you possess and which are required for the job. Your degree is clearly important in this respect but don’t forget the extra-curricular activities, positions of responsibility, jobs and voluntary work you may have been engaged in while studying at Keele. These activities allow you to demonstrate the skills and personal qualities required by employers and will be vital in your attempts to secure graduate employment.

    Find out more about our careers and employability services, including career planning, alumni mentoring, jobs, internships, starting your own business and much more.

    Athena SWAN

    The Athena SWAN Charter is a framework which is used across the globe to support and transform gender equality within higher education (HE) and research. Established in 2005 to encourage and recognise commitment to advancing the careers of women in science, technology, engineering, mathematics and medicine (STEMM) employment, the Charter is now being used across the globe to address gender equality more broadly, and not just barriers to progression that affect women.

    Over the past years, we have developed our Equality, Diversity and Inclusion (EDI) agenda and this is now embedded throughout all levels and activities. In September 2020, the School of Computing and Mathematics successfully renewed the Athena SWAN Bronze Award for 5 years. The School is committed to creating a diverse and inclusive culture in which students are able to thrive, regardless of their gender. 

    Athena Swan Bronze Logo

    Additional opportunities

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