MSc Business Analytics and Decision Sciences

Programme overview

Entry requirements

• A 2:1 or equivalent in a relevant subject. Must have a strong grounding in quantitative subjects with high scores in these subjects. Examples could include passes at good 2.1 grade in quantitative modules such as statistics, econometrics, mathematics or management science at ug level and/or exceptionally strong A-level performance in Mathematics or Statistics.
• Sufficient proficiency in English as evidenced by one of the following:
  - The Test of English as a Foreign Language (TOEFL), administered by the Educational Testing Service in the US. For the paper-based test a score of at least 580 overall and 4.0 in the Test of Written English are required. The computer-based test requires scores of at least 240 overall and 4.0 in essay-writing. For the internet based test (TOEFL iBT) applicants must achieve a minimum overall score of 92 with a minimum of 21 in Listening, 21 in Reading, 23 in Speaking and 22 in Writing.
  - The International English Language Testing Service (IELTS) test, administered by the British Council, in which scores of 6 or more in each section and an overall score of 6.5 are required.
• Other equivalent English language qualifications accepted by LUBS.
  

Programme specification

The programme will support students to develop their abilities to become competent and confident in undertaking collection and analysis of business data and the analysis of such data. Recent years have seen a huge growth, first in the availability of business data and subsequently in the realisation that the analysis and exploitation of this enormous pool of information is highly demanding and requires specific knowledge and skills. Because of the emphasis in the programme on quantitative techniques, but also the complex behavioural factors that underlie the genesis and interpretation of the data sets, the Centre for Decision Research is almost uniquely well-placed in the UK to develop graduates with the skill set and insights required for successful employment and/or further study in this area.

Our graduates will:

1. understand at an advanced level, and have a critical awareness of, current issues in business analytics and the decision sciences, informed by leading edge research
2. be able to analyse data and information, and critically evaluate its relevance and potential use
3. demonstrate awareness and understanding of the practical issues associated with applying business analytic and decision science methods, including an understanding of the organisational factors influencing successful practice
4. be able to communicate effectively, orally and in writing
5. be reflective learners, additionally possessing insight and understanding about ethical conduct, environmental issues, and global and cultural awareness.

Year 1

[Learning Outcomes, Transferable (Key) Skills, Assessment]
View Timetable

Students are eligible for the award if they pass the 150 credits of modules (including any pass for progression modules) and achieve an overall average mark of 50 or above, calculated across the 180 credits of modules.

Compulsory Modules

Students will be required to study the following 150 credits of compulsory modules:

Code	Title	Credits	Semester	Pass for Progression
LUBS5221M	Effective Decision Making	15	Semester 1 (Sep to Jan)
LUBS5253M	Advanced Management Decision Making	15	Semester 2 (Jan to Jun)
LUBS5308M	Business Analytics and Decision Science	15	Semester 1 (Sep to Jan)
LUBS5309M	Forecasting and Advanced Business Analytics	15	Semester 2 (Jan to Jun)
LUBS5318M	Evidence Based Consultancy	15	Semester 1 (Sep to Jan)
LUBS5579M	Business Analytics and Decision Sciences Dissertation	60	1 Jan to 30 Sep
LUBS5586M	Quantitative Analysis	15	Semester 1 (Sep to Jan)

Optional Modules

Students are required to select 30 credits from the following:

Code	Title	Credits	Semester	Pass for Progression
LUBS5202M	Risk Perception and Communication	15	Semester 2 (Jan to Jun)
LUBS5985M	Techniques of Influence	15	Semester 2 (Jan to Jun)
LUBS5990M	Machine Learning in Practice	15	Semester 2 (Jan to Jun)
LUBS5991M	Creating Effective Data Visualisations	15	Semester 2 (Jan to Jun)
LUBS5995M	Digital Technologies for a Sustainable Future	15	Semester 2 (Jan to Jun)

Last updated: 07/08/2024 15:42:49

Errors, omissions, failed links etc should be notified to the Catalogue Team