Business Analytics (Online) MSc

Program Overview

The MSc Business Analytics from Imperial College Business School is an online, part-time program designed to advance careers in business analytics. Delivered via The Hub, the program provides rigorous training in technical and quantitative skills, with a balance of teaching, hands-on coursework, and industry exposure. Students have the flexibility to complete the program in two or three years, and can choose from a range of electives to tailor their learning to specific industry interests.

Program Outline

Degree Overview:

The MSc Business Analytics (online delivery, part-time) is a two-year, part-time program designed for working professionals who want to advance their careers in the field of business analytics. The program provides rigorous technical and quantitative training in this in-demand field from world-class faculty and leading practitioners. It offers a balance of teaching, hands-on coursework, and training in data analysis and business intelligence tools, plus regular seminars by expert external speakers. The program is delivered online via The Hub, Imperial College Business School’s bespoke learning environment, ensuring a high-quality and supportive experience comparable to on-campus programs. The online MSc Business Analytics offers greater flexibility and managerial module options designed specifically for working professionals. Students can choose to complete the program in two or three years depending on their commitments and learning pace.

Objectives:

The program aims to:

• Develop the essential core knowledge and skills for a business analytics career.
• Equip students with the ability to make data-driven, evidence-based decisions and drive business transformation.
• Provide students with the opportunity to apply their knowledge in a practical setting.

Outline:

Pre-study Modules:

Before the program begins, students will complete pre-study modules delivered through The Hub. These modules are available to students who have accepted an offer of admission from July onwards and are designed to provide a basic knowledge of areas covered by the program throughout the academic year.

Core Modules:

Core modules rapidly build the theoretical and programming foundations needed for analytics. They are the backbone of the program and provide a solid combination of tools and knowledge.

• Essentials of Maths, Stats and Finance for Analytics
• Maths and Statistics Foundations for Analytics
• Data Structures and Algorithms
• Optimisation and Decision Models
• Statistics and Econometrics
• Machine Learning

Electives:

Each elective introduces the main analytical models and questions in the area, and students gain expertise in both the language and tools specific to that business area. Real-world data sets and cutting-edge tools and models allow students to apply their knowledge directly within their chosen industry. Students will take six electives.

• Fundamentals of Database Technologies
• Network Analytics
• Decision Analytics
• Data Analytics and Visualisation for Business
• Workforce Analytics
• Leadership in Analytics
• Logistics & Supply Chain Analytics
• Healthcare & Medical Analytics
• Energy Analytics
• Digital Marketing Analytics
• Retail & Marketing Analytics
• Advanced Machine Learning
• Market Research
• Strategic Market Management
• Business Problem Solving
• Emerging Technologies in Marketing
• Financial Analytics
• Analytics in Business Capstone Project (Analytics Project)
• Analytics in Business Capstone Project (Work-based Project)
• Individual Research Report

Projects:

In the second year, students choose to undertake either the Analytics in Business Capstone Project (students take either a Work Based Project or Analytics Project) or an Individual Research Report.

• Analytics in Business Capstone: Work-Based Project
• Analytics in Business Capstone: Analytics Project
• Individual Research

Assessment:

Assessment Methods:

• Essays
• Continuous assessments
• Written exams
• Multiple choice tests
• Formal presentations
• Video presentations
• Reports
• Simulations
• Case studies
• Participation

Teaching:

Teaching and Learning Methods:

• Case studies
• Projects
• Lectures
• Presentations and seminars
• Group work
• Virtual learning environment
• Lecture recordings
• Practical classes and fieldwork

Careers:

Potential Career Paths:

The program prepares students for a variety of careers in business analytics, including:

• Data Analyst
• Business Analyst
• Data Scientist
• Market Research Analyst
• Operations Research Analyst
• Consultant

Opportunities:

Graduates of the program will be equipped with the skills and knowledge to:

• Drive business transformation through data-driven decision making.
• Make data-driven, evidence-based decisions.
• Apply their knowledge in a practical setting.

Outcomes:

The program provides students with the opportunity to:

• Develop a strong foundation in business analytics.
• Gain practical experience in applying analytical techniques to real-world problems.
• Network with industry professionals.

Other:

• The program is accredited by the Association of MBAs (AMBA), the Association to Advance Collegiate Schools of Business (AACSB), and the European Quality Improvement System (EQUIS).
• Imperial College Business School has been recognized for its work in tackling gender inequality in higher education with a Bronze Athena SWAN award.
• The program is suitable for recent graduates and working professionals with work experience who want to study while continuing their careers.
• Students are required to have a well-researched career plan with clear short and long-term goals.
• The program offers exit points upon completion of 30 ECTS (PG Certificate) or 60 ECTS (PG Diploma).
The maximum period of registration for either exit award is 36 months.

Tuition fee: £34,400 Home Tuition fee: £34,400 Overseas