Applied Project in Business Analytics MGT5496P

  • Academic Session: 2025-26
  • School: Adam Smith Business School
  • Credits: 60
  • Level: Level 5 (SCQF level 11)
  • Typically Offered: Summer
  • Available to Visiting Students: No
  • Collaborative Online International Learning: No
  • Curriculum For Life: No

Short Description

The Applied Project in Business Analytics, delivered during the summer, serves as the capstone of the programme, offering students a comprehensive opportunity to integrate and apply the core knowledge, skills, and competencies developed throughout their studies.

Timetable

On-campus sessions (for all students):

■ Introduction to the Applied Project (February) - 2 x 1 hour

■ Project Information Session (March/April) - 2 x 1 hour

■ Ethical Approval Process Workshop (April/May) - 2 x 1 hour

 

Supervision:

■ 5 x 1 hour of supervisory meetings, scheduled upon agreed times between students and their supervisors.

Requirements of Entry

Please refer to the current postgraduate prospectus at: http://www.gla.ac.uk/postgraduate/

Excluded Courses

None

Co-requisites

None

Assessment

ILOs

Assessment

Weighting

Length/Duration

1, 2, 5, 6 & 7

Individual Business Analytics Report

60%

6,000 words

1, 3 & 7

Individual Code/Software Assessment

25%

Length and format depending on software used in the project

Course Aims

This course aims to equip students to address real-world business problems by independently developing innovative, data-driven solutions using ethically compliant synthetic datasets derived from commercial data, while preparing them for careers in business analytics through the application of advanced analytical skills and professional project experience.

Intended Learning Outcomes of Course

By the end of this course students will be able to:

1. Analyse key principles of data integration, data quality, and data governance.

2. Critically evaluate personal performance in an academic or professional context.

3. Identify resources or approaches to improve performance.

4. Demonstrate adaptability in both learning and professional setting.

5. Evaluate and synthesize information to support effective decision-making.

6. Communicate the outcomes of decision making to relevant stakeholders.

7. Design, execute, and present business data analyses and interactive visualisations using industry-standard analytics and business intelligence tools to support strategic decision-making.

Minimum Requirement for Award of Credits

Students must submit at least 75% by weight of the components (including examinations) of the course's summative assessment.