3. Programme Learning Outcomes
3.1 Knowledge and Understanding
On successful completion of this programme participants should be able to demonstrate knowledge and understanding in the following areas:
K1 The main business or policy application areas in industry, and of current and leading edge research in these areas.
K2 A range of analytics approaches, techniques and tools for analysing big data, together with their expected benefits and limitations.
K3 Current thinking and issues relevant to big data.
K4 The role of the analytics professional and the process of deploying effective analytics projects in organisations.
3.2 Skills and other attributes
a. Subject-specific cognitive skills:
On successful completion of this programme students should be able to:
C1 Construct original analytics-driven insights that draw on appropriate evidence from a variety of sources.
C2 Critically analyse, evaluate, and synthetize the practice of analytics.
C3 Critically appraise the relative importance and relevance of different sources of data to the deployment of analytics, and recognise and address issues relevant to management of big data.
C4 Recognise opportunities to apply a wide range of analytics approaches in organisations, deployed effectively and critically in either expert or facilitative modes, to a wide range of problem and decision situations.
b. Subject-specific practical skills:
On successful completion of this programme students should be able to:
P1 Apply model-supported problem structuring and decision analysis skills to formulate complex or unstructured problem or decision situations, distinguish facts from values, define objectives, preferences, constraints and assumptions, and create and evaluate options.
P2 Make effective use of information and communication technologies, including the appropriate selection and competent application of a range of relevant computer software for deploying analytics.
P3 Conduct research effectively and efficiently into the field of analytics, using a variety of data, information and knowledge sources.
P4 Undertake, and manage effectively, an analytics-driven project in a problem or decision situation within a business or policy context, selecting and employing various methodologies, techniques and tools as appropriate, and developing helpful interactions with analytics users or experts
c. Key transferable skills:
On successful completion of the programme students should be able to:
T1 Communicate complex ideas and arguments effectively, both orally and in writing and using a range of media, to expert and lay audiences.
T2 Work effectively with others in a team environment, recognising and utilising individuals’ contributions in group processes, and displaying effective negotiation and project management skills when needed.
T3: Demonstrate high personal effectiveness, including critical self-awareness, self-reflection and self-management, sensitivity to diversity in people and situations, time management, and the ability to take responsibility for their own learning, and to continue learning through reflection on practice and experience.
T4: Use information technology to scan, organise and assess relevant information for problem solving, decision making and sharing knowledge.
T5: Analyse complex problems and develop novel solutions, and apply numerical reasoning appropriately in problem solving processes.
Learning outcomes associated with the PGDip do not include K4, C4, P4 and T5.,
4. Programme structure
The MSc programme lasts one-year full-time, and is divided into a taught and project component. Students take 8 compulsory taught modules delivered across two semesters, which amount to 120 credits. In the summer students take a supervised analytics consulting or research project worth 60 credits.
Code
|
Title
|
Modular weight
|
Semester
|
BSP410
|
Skills for Consulting Projects
|
15
|
1
|
BSP411
|
Discovery Analytics
|
15
|
1
|
BSP412
|
Managerial Decision Modelling
|
15
|
1
|
BSP413
|
Managing Big Data
|
15
|
1
|
BSP414
|
Customer Analytics
|
15
|
2
|
BSP415
|
Logistics Modelling and Operations Analytics
|
15
|
2
|
BSP416
|
Policy and Strategy Analytics
|
15
|
2
|
BSP417
|
Process and Programming for Analytics
|
15
|
2
|
BSP418
|
Analytics Project
|
60
|
3
|
The PGDip is awarded after successful completion of all eight 15-credit taught modules.
5. Criteria for Progression and Degree Award
In order to be eligible for the award, candidates must satisfy the requirements of Regulation XXI. In addition, and in accordance with Regulation XXI, candidates who have a right of re-assessment in a module may choose to be re-assessed in the University's special assessment period.
6. Relative Weighting of Parts of the Programme for the Purposes of Final Degree Classification