University of Greenwich
University of Greenwich

Business Analytics, MSc

University of Greenwich, United Kingdom

Course Overview

Our comprehensive MSc Business Analytics program responds to the increasing demand for analytical expertise across diverse industries, providing students with a distinct competitive advantage in their professional journeys. In an age dominated by data, the ability to extract valuable insights from vast information is crucial. This program is strategically designed to address the intersection of business acumen, statistical analysis, and cutting-edge technology, equipping students to navigate the data-driven landscape with precision. The curriculum seamlessly integrates core business management principles with the latest analytical techniques. From data mining and predictive modeling to machine learning, data visualization, and optimization, students gain a comprehensive skill set to extract actionable insights and make informed decisions. Taught by accomplished academics and industry experts, our program prioritizes practical learning. Through hands-on projects, real-world case studies, and internships with leading organizations, students apply their analytical skills to solve complex business challenges. Strong industry connections further provide valuable mentorship, internships, and potential job opportunities. Graduates of the MSc Business Analytics program emerge with a profound understanding of leveraging data for strategic decision-making, operational optimization, and gaining a competitive edge. Armed with technical expertise, business acumen, and analytical thinking, our alumni excel in roles such as data analysts, business intelligence managers, consultants, and strategic planners. As a testament to our commitment to student support, the University has secured 62 £10,000 awards from the Office for Students for the 2024/25 academic year, with this program being included. To explore the boundless possibilities of our MSc Business Analytics program, visit us, apply now, and delve into the course content and entry requirements for a transformative educational experience.

Course Type
PG
Course Nature
Full Time
Course Duration
1 Year
Total Fee
£18150
Intake
Language Proficiency

Under Graduation: 55% 
English for HSE/SSE: 70% or  IELTS: 6.5

Documents Required
  • 10TH
  • 12TH
  • DEGREE
  • DEGREE PROVISSIONAL CERTIFICATE
  • Degree Consolidated Marksheet
  • Degree Individual Marksheet
  • PASSPORT
  • LOR 1
  • LOR 2
  • CV
  • SOP
  • EXPERIANCE CERTIFICATES
University
University of Greenwich
University Details

Syllabus

Course Overview: This comprehensive master's program in Business Analytics is designed to equip students with the skills and knowledge necessary for success in the rapidly evolving field of business analytics. The program covers foundational business concepts, data analysis, programming, machine learning, and ethical considerations, providing a holistic understanding of how data can be leveraged to drive innovation and decision-making in various industries.

Module 1: Foundations of Scholarship for Business Analysts (45 credits)

  • Introduction to Business Analytics
  • Research Methodologies
  • Critical Thinking and Analytical Skills
  • Academic Writing and Presentation Skills

Module 2: Fundamentals of Business (10 credits)

  • Basics of Business Management
  • Financial Management Principles
  • Marketing Strategies
  • Organizational Behavior

Module 3: Innovation Strategy (15 credits)

  • Innovation in Business
  • Strategic Management
  • Design Thinking
  • Technology Adoption and Innovation

Module 4: Big Data Analysis and Visualization (10 credits)

  • Introduction to Big Data
  • Data Processing and Storage
  • Data Visualization Techniques
  • Tools for Big Data Analytics

Module 5: Data Mining for Business (15 credits)

  • Data Mining Techniques
  • Association Rule Mining
  • Clustering and Classification
  • Practical Applications in Business

Module 6: Digital Economy, Tools, and Techniques (15 credits)

  • Digital Transformation in Business
  • E-commerce and Online Marketing
  • Social Media Analytics
  • Emerging Technologies in the Digital Economy

Module 7: Ethical and Legal Aspects of Business Analytics (15 credits)

  • Ethics in Data Collection and Analysis
  • Privacy and Security Concerns
  • Regulatory Compliance
  • Case Studies in Ethical Decision-Making

Module 8: Programming Fundamentals for Business Analytics (10 credits)

  • Introduction to Programming (Python/R)
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