Data Analysis for Business Intelligence

MSc, 1 year, full-time

This is for you if... you want to gain practical experience in databases and a rigorous understanding of applied statistics, data mining, operational research and related areas.

Course Description

The McKinsey Global Institute calls big data “the next frontier for innovation, competition and productivity.” According to IBM, mankind creates 2.5 quintillion bytes of data every day. Businesses and industry have already realised that investment in big data is absolutely necessary to survive in the modern world.

The MSc in Data Analysis for Business Intelligence will prepare you to work with data in the business environment, using mathematical, statistical and computational skills – including data mining and practical database coding skills.

You will learn how to identify and correlate potential patterns in data as well as honing the data analysis skills required to perform predictive and prescriptive modelling in real-world business situations. Your summer project will let you apply what you have learned to real business problems.

This degree is managed by our Department of Mathematics in collaboration with our Department of Informatics and includes the option of two industry standard professional IT certifications.

Key Facts
Start date
September each year
Department
Informatics, Mathematics
Contact

Postgraduate Admissions Team, Department of Mathematics
+44 (0)116 252 3896
mathspg@le.ac.uk

Department of Mathematics website

Why Leicester?

The Department of Mathematics at Leicester carries out research, training and postgraduate teaching in finance, risk management, dynamical systems, computational modelling, actuarial science, data analysis, algebra, topology and associated fields.

We have more than 50 postgraduate research students, over 80 postgraduate taught students and in excess of 100 students studying by distance learning.

The Department provides a stimulating academic environment where you can develop your knowledge and skills, and contribute to a wider understanding of the subject area.

Course Structure

Semester 1

Semester 1

Core modules

  • Internet and Cloud Computing
  • Statistics
  • Mathematical Modelling

Option modules

Choose one option module from:

  • Advanced C++ Programming
  • Practical Programming

Modules shown represent choices available to current students. The range of modules available and the content of any individual module may change in future years.

Semester 2

Semester 2

Core modules

Option modules

Choose one option module from:

Modules shown represent choices available to current students. The range of modules available and the content of any individual module may change in future years.

Summer

Summer

You will carry out an extended Research Project, based around analysis of a real dataset, organisation of a database or preparation of data analysis software for a specific problem.

You will also have the opportunity to sit two optional IT certification exams:

  • SAS for data analysis (with external certification: 'SAS Base Programmer for SAS 9')
  • SQL (with external certification: 'The Microsoft Certified Solutions Associate (MCSA): SQL Server 2012')

Programme also includes:

  • VBA Training
  • House Hours

While these exams are not mandatory to complete the MSc, we recommend sitting them because they are highly valued by employers.

Modules shown represent choices available to current students. The range of modules available and the content of any individual module may change in future years.

Teaching and Assessment

Teaching on this course is a combination of lectures, workshops, independent work, group and team work, supervised study and directed reading. Assessment of each module is through written exams, marked assignments, assessed problems, oral presentations and written project reports. Your research project assessment will be based on your written thesis and an oral exam.

Entry Requirements

2:2 degree in Maths or related subject (eg. Physics) or equivalent international qualification. If your background is in computer science we will assess your student transcript.

English Language Requirements

IELTS 6.0 or equivalent. If your first language is not English, you may need to provide evidence of your English language ability. If you do not yet meet our requirements, our English Language Teaching Unit (ELTU) offers a range of courses to help you to improve your English to the necessary standard.

International Qualifications

Find your country in this list to check equivalent qualifications, scholarships and additional requirements.

Countries list

Fees and Funding

Career Opportunities

The Department of Mathematics has a long history of collaborating with industry for student projects. Companies we have worked with include Asset Intelligence, City Group, Santander, Deloitte, Risk Care, Alstom. Your summer project will be based on real data and developed in partnership with industrial contacts like these.

Careers

Our Career Development Service is here to support you, with advice on interviews, CVs, work experience, volunteering and more. From Freshers’ Week to Graduation and beyond, they are here to help you reach your professional goals.

Course Qualification Duration Start Dates Availability
Data Analysis for Business Intelligence MSc 1 year full-time September each year

Not currently available; contact admissions.

Course
Data Analysis for Business Intelligence
Qualification
MSc
Duration
1 year full-time
Start Dates
September each year
Availability

Not currently available; contact admissions.

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