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

Year of entry: 2021
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

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Course overview

Our Integrated Master’s degree in Data Science with 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.

Your Name

Date of Birth (dd/mm/yyyy)

Please provide a contact telephone number *

Country of Residence

Year of Entry

Please Select a Course

Are you interested in a Foundation Year

YesNo

Please enter your question below:

Your Preferences

Please keep me informed using email

YesNo

Please keep me informed using phone

YesNo

Please keep me informed using messages/texts

YesNo

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).

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

What to do if I change my mind?

Gold

In the Teaching Excellence Framework Also Top 5 in the UK (THE ranking, broad-based universities)

Top 3

in England for overall Student Satisfaction NSS 2019 (broad-based universities)

97%

of research world leading, or of international importance Research Excellence Framework, 2014

Student testimonials

Tom Rye-Weller, Communications Director at PepsiCo, New York

"Keele prepared me for my future as it is unlike many other universities; its dual honors curriculum doesn’t take you down one path and you’re encouraged to learn different subject areas" - read more about Tom Rye-Weller, Communications Director at PepsiCo, New York

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, with modules like Creativity and Personal Development, and Accounting for Decision Making.

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

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

Career prospects

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

With large amounts of data being continuously generated and stored by small and large businesses alike, the demand for highly skilled professionals to manage them is ever growing. 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.