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Mathematics and Data Analytics MSci/BSc (Hons)

OVERVIEW

This course runs in 2017/18

This course aims to provide the essential training needed for sophisticated analysts. This course brings together a range of mathematical, statistical and computational techniques that the modern data analyst needs.

Our following courses are ideal for you and can be studied as a BSc with the course code 256A or as a MSci with the course code 257A:

BSc - 256A: 3 years full-time; 4 years sandwich (study abroad or work placement).

MSci - 257A: 4 years full-time; 5 years sandwich (study abroad or work placement).

WHY CHOOSE THIS COURSE?

You will study a combination of mathematics, data analysis and computing modules to tackle a huge variety of interesting and engaging problems from business and industry.

Skills learnt on this course are essential in sectors such as IT, healthcare, sports, finance, marketing and sales industries. The course also develops key graduate skills such as problem solving and communication.

If you choose this course you may benefit from:

  • working with committed and enthusiastic teaching staff in a modern, open-plan building;
  • well-equipped computer labs with specialist and industry standard software;
  • strong links with employers and a network of successful alumni;
  • one-to-one support from the Mathematics Support Centre, organised by Sigma - our internationally renowned Centre for Excellence in mathematics and statistics support;
  • the opportunity to apply for work experience placements with companies such as: National Grid, Morgan Stanley, Cummins and E.ON;
  • the opportunity to apply for a study/placement year abroad in Europe, as a part of the Erasmus scheme, or the USA.

Accreditation

Institute of Mathematics and its Applications

Institute of Mathematics and its Applications (IMA)

Accreditations shall be renewed in accordance with the accreditors standard review process and subject to the University maintaining the same high standards of course delivery.

WHAT WILL I LEARN?

The first year lays the mathematical and computational foundations on which the rest of the course builds.

During the second year, you will consolidate your knowledge of the core mathematical methods, broadening the data analytic and statistical elements. You will have the opportunity to choose another module. Your studies will have a strong practical emphasis in modern data analysis.

In the third year, you will continue your study of the above themes and you may engage in a final year dissertation project with the support of a dedicated supervisor.

Students who progress to MSci in the fourth year of the course will learn how to apply mathematical techniques and computational algorithms to real world problems, and how to interpret and analyse big data.

HOW WILL THIS COURSE BE TAUGHT?

Your timetable sessions will be based on lectures, computer laboratory sessions and example classes. We schedule weekly sessions where your module lecturers are available to provide support, and in addition to group work sessions, you will also have regular tutorials.

The Mathematics Support Centre is open seven days a week to provide you with one-to-one support. The centre also has specialist staff to provide extra support for dyslexic students. You will work with staff on real world problems from industry, commerce and research groups as you would in professional practice. This allows you to develop professional skills whilst learning the technical content of your degree.


8th

Our Mathematics courses are ranked 8th by Guardian University Guide 2018


HOW WILL I BE ASSESSED?

 An estimated breakdown of how your final grade is assessed is as follows:

  • formal examinations 47%;
  • coursework (including tests and group work) 47%;
  • practical work (including presentations) 6%.

A compulsory Add+vantage module must also be completed: please see the page on the Add+vantage scheme for more details.

TEACHING CONTACT HOURS

Each module has a different mix between lectures, tutorials and labs. In a typical week you will have 15-19 contact hours of teaching and this will break down as:

Personal tutorial/small group teaching: 1 hour of personal academic tutorial (or later, individual project supervision) each week.

Medium-group teaching: 6-12 hours of tutorials, laboratories and studio sessions each week.

Large-group teaching: 6-12 hours of lectures each week.

Personal study: approximately 20 hours each week studying and revising in your own time, including some guided study using handouts, online activities etc.

Entry Requirements

Essential Entry Requirements for Mathematics and Data Analytics BSc (256A)

5 GCSEs at grade A*-C including English and Mathematics or specified equivalents. 

A levels: BBC to include Mathematics. Excludes General Studies.

BTEC Level 3 Extended Diploma: Assessed on an individual basis.

Access: Assessed on an individual basis.

International Baccalaureate Diploma: 29 points to include 4 points in Mathematics at Higher level.

 


 

Essential Entry Requirements for Mathematics and Data Analytics MSci (257A)

5 GCSEs at grade A*-C including English and Mathematics or specified equivalents.

A levels: ABB to include Mathematics. Excludes General Studies.

BTEC Level 3 Extended Diploma: Assessed on an individual basis.

Access: Assessed on an individual basis.

International Baccalaureate Diploma: 31 points to include 4 points in Mathematics at Higher level.

How will this course enhance my career prospects?

This course will give you a wide range of career opportunities in areas such as business analysis, risk analysis, energy demand forecasting, health analytics, sports analytics, web analytics, social media analytics and many more. During the course you would have developed analytical, problem solving and numerical skills.

Coventry University is committed to preparing you for your future career and giving you a competitive edge in the graduate job market. The University's Careers and Employability team provide a wide range of support services to help you plan and prepare for your career.

The Faculty’s Employability and Placement team, EC Futures, are the proud winners of the Best University Placement Service (UK 2015) presented by the NUE Awards. 

NO HIDDEN EXTRAS

Included in the fees:

  • Specified core reading material and software (to run on a Windows environment);
  • Any mandatory UK residential field trips;
  • Any mandatory UK site visits and trips;
  • 1,000 sides of black and white laser prints;
  • Tuition fee waiver for placement and study abroad year

Additional costs not included in the fees:

  • Any optional overseas field trips or visits: £400+ per trip

Find out more about No Hidden Extras here. 

No Hidden Extras is part of our student promise, and by accepting your offer of a place with us, a Student Contract will be formed between you and the University.

ADD+VANTAGE

The focus on preparing students for successful futures sets Coventry apart as a university. The key: developing and enhancing students' employability, and delivering a serious competitive advantage in the jobs market. At Coventry, that starts right from the beginning.

The Add+vantage modules teach a range of work experience and extra-curricular activities that are taken each year, and which broaden students knowledge and skills within a work focused environment. There is a very broad range of Add+vantage free-choice subject areas, and they are arranged in themes.

Click here for further details.

OPPORTUNITIES FOR AN INTERNATIONAL EXPERIENCE

To enhance your employability and create global graduates, Coventry University enables you to study abroad as part of your course. This includes Europe (through the Erasmus scheme), America and Asia.

We understand that students become much more employable with international experience, so we provide every possible support in arranging your time abroad and applying for financial assistance.

GLOBAL LEADERS PROGRAMME

Centre for Global Engagement logoDid you know we help more students travel internationally than any other UK university according to data from the experts in higher education data and analysis, HESA?

In 2014/15, we were able to provide a total of 2,264 student experiences abroad that lasted at least five days, 73% of which were our own organised trips for undergraduates and 27% from postgraduate travel. Plus, we’ve been able to help more than 5,000 students spend time in other countries, from America to China, India and beyond.

Much of this travel is made possible through our Global Leaders Programme, which enables students to prepare for the challenges of the global employment market, as well as strengthening and developing their broader personal and professional skills.

The objectives of the programme, in which eligible undergraduate and postgraduate students can participate, is to provide practical career workshops and enable participants to experience different business cultures.

Explore our Global Leaders Programme.

Student – Yasmin Colquhoun

The department has a high standard of teaching with an even higher level of support, enabling you to improve a wide range of skills.

 

Disclaimer:

Please note that all international visit/opportunities and placements are subject to successful student application and criteria being met. Locations, conferences and work experience are all subject to change. Please contact the Faculty for up to date information.

APPLY FOR THIS COURSE ORDER A PROSPECTUS
Course code:
EECU001
Duration:
  • 3 years full-time; 4 years sandwich (study abroad or work placement)
  • 4 years full-time, 5 years sandwich or study abroad

Qualification:
  • Undergraduate Degree

Course type:
  • Full time
  • Sandwich course

Fees:
£14,104

Contact Details:

International Office

+44 (0) 24 7765 2152