BSc Management (International Business Economics) with Industrial/Professional Experience

The course covers a variety of data analytics techniques, including data management and preparation, data preliminary analysis and preprocessing, feature selection and engineering, predictive modelling, clustering, ensemble learning, association analysis, etc. 

BMAN24621 has pre-requisites of: BMAN10960 or BMAN11060. Only available to students on: Mgt/Mgt Specialism; IMABS and IM. Core for BSc ITMB.

This course requires analytical thinking, the use and interpretation of mathematical & statistical concepts, as well as rapid familiarization with a range of specialist software tools. As such, students are expected to bring basic competency and confidence in all the above three areas, including a willingness for extensive independent study in line with the requirements for a 20-credit course unit. 
For students progressing from BMAN10960 Quantitative Methods for Business & Management, it is strongly suggested that a mark of 60% or more should have been achieved.

 

To provide students with an understanding  of data analytics for business  and management.

To help develop skills in the use of industry-leading software tools, mainly SAS packages.

 

•    Introduction to business data analytics
•    Data management and preparation,
•    Data preliminary analysis,
•    Data preprocessing,
•     Predictive modelling
•    Clustering analysis
•    Ensemble learning
•    Association analysis
•    Text analytics
•    Visual analytics and big data analytics

 

Two-hour lecture and two-hour lab per week (see detailed schedule below) for 11 weeks, directed reading and computer based support.

 

At the end of the course students should be able to:

•       Understand the fundamentals of data analytics and its applications to real life business problems,

•       Understand a variety of data analytics techniques, including data pre-processing, feature selection, predictive modelling, unsupervised learning, etc., and,

•       Demonstrate the ability to use specialised software tools to analyse large sets of data in different business contexts.

 

Coursework project: group technical report (60%)

Individual executive summary (40%)

 

•    Informal advice and discussion during lectures or seminars.
•    Responses to student emails and questions from a member of staff including feedback provided to a group via an online discussion forum.
•    Written and/or verbal comments on assessed or non-assessed work.
•    Generic feedback posted on Canvas regarding overall examination performance.

In addition to the central unit evaluation questionnaire, student are encouraged to give feedback through emails and conversations at anytime, and questionnaire near the end of the semester

 

Galit Shmueli, et al.; Data Mining for Business Analytics: Concepts, Techniques, and Applications - in R (e-book available from the university library) or in Python, John Wiley & Sons, 2018.

Max Bramer, Principles of Data Mining, Springer, 2013.

Other reading materials will be shared via Canvas

 

 

Pre-requisites: BMAN11060 Fundamentals of Data Analytics for BSc ITMB, and BMAN10960 Quants for Business and Management (except BSc Mathematics and Management & Maths Stats & OR.) or equivalent for other BSc programmes
Co-requisites: None
Dependent courses: None
Programme Restrictions:

• BSc Information Technology Management for Business
• BSc Management and Management (Specialisms),
• BSc International Management,
• BSc Mathematics and Management, Maths, Stats & OR

 

Tuition fees for home students commencing their studies in September 2027 will be £10,050 per annum. Tuition fees for international students will be £35,300 per annum.

For general information please see the undergraduate finance pages.

You will receive a significant tuition fee discount for the placement year. UK students with a household income of up to £35,000 are also eligible to receive a  cash bursary  worth up to £2,000.

All students should normally be able to complete their programme of study without incurring additional study costs over and above the tuition fee for that programme

All students should normally be able to complete their programme of study without incurring additional study costs over and above the tuition fee for that programme. Any unavoidable additional compulsory costs totalling more than 1% of the annual home undergraduate fee per annum, regardless of whether the programme in question is undergraduate or postgraduate taught, will be made clear to you at the point of application. Further information can be found in the University's Policy on additional costs incurred by students on undergraduate and postgraduate taught programmes (PDF document, 91KB).

We know that student finance can be complicated. The links below provide further information to help guide you.

Learn more about student finance options for UK students.

Learn more about fees and finance for international students.

As an international student you may be eligible for our Global Futures Scholarships . This is open to students starting their studies in September 2027.