MSc Business Analytics and Technologies: Extended

Program Overview

The MSc Business Analytics and Technologies program equips students with the knowledge and skills to analyze data, identify trends, and provide actionable insights for informed business decisions. It emphasizes practical application, preparing graduates for careers in business data analytics, including roles such as business analyst, data scientist, and marketing analyst. The program offers flexible study options, including full-time and part-time formats, and incorporates real-world scenarios and case studies to enhance students' industry relevance.

Program Outline

Degree Overview:

The MSc Business Analytics and Technologies is a postgraduate program designed for graduates seeking to enhance their knowledge and skills in the field of business analytics. The program emphasizes practical application and industry relevance, preparing students for a successful career in the rapidly evolving field of business data analytics.

Outline:

Program Content:

The program covers a comprehensive range of topics related to business analytics and technologies, including:

• Data Analysis Methods: Students will learn various data analysis techniques, including statistical analysis, data mining, and machine learning.
• Business Intelligence Principles and Practices: The program explores the principles and practices of business intelligence, enabling students to understand how data can be used to improve business performance.
• Computer Programming and Data Analytics Skills: The program provides hands-on training in computer programming and data analytics, equipping students with the technical skills needed to work with data.
• Business, Marketing, and Life Skills: Students will develop essential business and marketing knowledge, as well as life skills such as leadership, creativity, and problem-solving.
• Communication Skills: The program emphasizes the importance of clear and effective communication, enabling students to present their findings and insights to stakeholders.

Program Structure:

The MSc Business Analytics and Technologies is offered in three different formats:

• Full-time (12 months): This option provides an intensive learning experience, allowing students to complete the program in a shorter timeframe.
• Full-time (18 months): This option offers a more flexible learning pace, allowing students to balance their studies with other commitments.
However, it is mentioned that the program uses a blended learning approach, combining face-to-face sessions with online learning activities.

Individual Modules:

The program includes a variety of modules, some of which are compulsory and others are optional. The specific modules offered may vary depending on the chosen program format. The context provides a list of potential modules, including:

• Professional Practice
• Research Methods
• Project
• Business Analytics
• Programming for Data Analytics
• Technological Innovation in Business
• Marketing Analytics
• Data Analysis and Visualisation
However, it is mentioned that the modules are designed to be relevant to industry needs and that they incorporate real-world scenarios and case studies.

Assessment:

Assessment Methods:

The program utilizes a variety of assessment methods to evaluate student learning, including:

• Written Coursework: Students will complete written assignments to demonstrate their understanding of course concepts.
• Project Work: Students will undertake projects to apply their knowledge and skills to real-world problems.
• Oral Assessments: Students may be required to present their work orally to demonstrate their communication skills.
However, it is mentioned that formative assessments are used throughout the program to provide feedback and support student development. Summative assessments contribute to the final grade and are designed to assess student achievement against the learning outcomes for the course.

Teaching:

Teaching Methods:

The program employs a blended learning approach, combining face-to-face sessions with online learning activities. Teaching methods may include:

• Lectures: Provide a structured overview of course content.
• Seminars: Facilitate interactive discussions and group work.
• Discussion Groups: Encourage peer learning and collaboration.
• Guest Speakers: Provide insights from industry professionals.
• Master Classes: Offer specialized instruction on specific topics.
• Guided Independent Study: Encourage students to take ownership of their learning.

Faculty:

The program is taught by a team of experienced and dedicated faculty members with expertise in business analytics, data science, and related fields. The context provides a list of faculty members associated with the program, including:

• Eugen Harinda
• Mansoor Ihsan
• Andrew Parker
• Abdul Razak
• Andrew Holland
• Adam Isherwood
• Francis Morrissey
• Brennan Tighe
• Dr Thaier Hamid
• Louise Ashby
• William Haddock
• Celestine Iwendi
• Helen Martin
• Anchal Garg
• Mohammed Benmubarak

Unique Approaches:

The program emphasizes practical application and industry relevance, incorporating real-world scenarios, case studies, and guest speakers from industry. The program also provides students with the opportunity to undertake a capstone project that is tailored to their individual interests and experience.

Careers:

Potential Career Paths:

Graduates of the MSc Business Analytics and Technologies program are well-prepared for a variety of careers in the field of business data analytics, including:

• Data Scientist: Develop and implement data-driven solutions to business problems.
• Marketing Analyst: Analyze customer data to understand market trends and develop effective marketing strategies.

Opportunities:

The demand for skilled business analytics professionals is growing rapidly, creating numerous opportunities for graduates of this program. Companies across various industries are seeking individuals with the ability to analyze data, identify insights, and communicate their findings effectively.

Outcomes:

Graduates of the MSc Business Analytics and Technologies program will possess a strong theoretical and practical understanding of business analytics and technologies. They will be able to demonstrate essential skills in data analysis, data visualization, communication, and problem-solving. The program also aims to develop students' lifelong learning skills, enabling them to adapt to the ever-changing landscape of business analytics.

Other:

The context mentions that the University of Bolton is committed to providing a supportive and student-focused learning environment. The university also emphasizes the importance of building lifelong learning skills and maximizing students' potential for success.