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Students
Tuition Fee
Start Date
Medium of studying
Fully Online
Duration
24 months
Program Facts
Program Details
Degree
Masters
Major
Business Analysis | Business Management
Area of study
Business and Administration
Education type
Fully Online
Timing
Part time
Course Language
English
About Program

Program Overview


This 100% online MBA in Big Data Analytics equips students with the skills to interpret data and make informed business decisions. Emphasizing the transformative power of data science, the program spans 2 years, offering part-time study and flexible entry points. Graduates gain industry-led, career-focused content, preparing them for roles such as Data Analyst, Business Analyst, and Data Scientist.

Program Outline


Degree Overview:

This 100% online MBA Big Data Analytics program is designed for ambitious individuals seeking a comprehensive business skill foundation alongside specialized knowledge and application of data analytics within a business context. It aims to equip students with the ability to reliably interpret data for making sound business decisions in an environment where data collection, generation, storage, and sharing are rapidly expanding. The program emphasizes the transformative power of data science in today's business landscape, highlighting how companies across industries rely on data analytics for informed decisions. This MBA program provides the necessary tools to thrive in a data-driven world, focusing on acquiring skills and knowledge to gain a competitive edge in the job market.


Outline:

The MBA Big Data Analytics program spans 2 years of part-time study, totaling 180 credits. It is delivered entirely online, allowing students to learn anytime, anywhere, on any device. It delves into computational platforms supporting big data applications, tackles challenges in big data computing, and examines responsible design, building, and maintenance of complex big data resources. Students develop critical awareness of current and emerging big data technologies and applications. Students explore a range of techniques and procedures for data exploration, investigating patterns and trends in past business performance to develop predictive models.

  • Finance Insights & Business Intelligence: This module equips students with the ability to analyze business and financial data, extracting key insights that influence strategic decision-making.
  • It emphasizes the importance of these insights for the financial well-being of both commercial and non-profit organizations navigating a competitive landscape.
  • Implementing Strategies: This module encourages students to independently research and explore the diverse contributions of strategic practices to business performance.
  • It develops analytical techniques and judgment based on theoretical models and contextual trends that impact strategic implementation.
  • Creative Change & Innovation: This module provides a critical perspective on the enduring role of change and creativity for organizational survival and growth.
  • It encourages recognition of organizational tensions and performance fluctuations linked to the generation and application of change and new ideas.
  • Integrated Communications: This module focuses on developing students' abilities to apply effective communication planning and brand management concepts.
  • It provides insights into how enhancing sustainable stakeholder relationships and delivering customer value contribute to organizational performance.
  • HRM in Context: This module empowers students to develop their skills and knowledge as HRM practitioners through contemporary and constructive debates.
  • It covers HRM across the strategic and operational business environment, related management functions, and evolving work trends. The aim is to increase credibility in HRM and develop frameworks that support and integrate with other HR strategies and functions, ultimately contributing to human capital and business performance.
  • Emphasising the Environment: This module examines the complex relationship between business practices and their impact on the global environment.
  • It explores how businesses can contribute positively to global environmental concerns and policies.
  • Research Methods: This module provides insights into the nature and structure of academic research methods aligned with common research frameworks.
  • It introduces analytical techniques and approaches to sampling, along with research ethics, to guide students in investigating and solving research questions.
  • Research Proposal: This module assists students in identifying a contemporary business or management problem that warrants investigation to find possible solutions.
  • It provides insights into academic research, including methodologies and analytical techniques. Students develop and submit a research proposal based on a focused literature review. The problem identified in this module forms the basis for their dissertation research.
  • Dissertation: The dissertation module allows students to investigate and report on their chosen contemporary business or management problem.

Teaching:

The MBA Big Data Analytics program is delivered entirely online, providing a flexible learning experience. The program content is developed with input from major employers, ensuring relevance to current industry needs and career enhancement.


Careers:

The MBA Big Data Analytics program is designed to enhance career prospects across a wide range of sectors. The program emphasizes industry-led, career-focused content, aligning with the needs of the modern workforce. The program's focus on data analytics skills, combined with its comprehensive business skills development, positions graduates for roles such as:

  • Data Analyst
  • Business Analyst
  • Data Scientist
  • Data Engineer
  • Market Research Analyst
  • Management Consultant

Other:

The provided context highlights Wrexham University's commitment to flexible learning, with over half of its students studying part-time. This experience translates into a uniquely flexible MBA Big Data Analytics program that allows students to study at their own pace and on their own terms. The program is supported by a dedicated Student Success team providing guidance throughout the learning journey, from enrollment to graduation. The program boasts a total cost of £6,000, with a flexible payment option of £500 per eight-week module. Postgraduate government loans are available for eligible students to cover the full program cost.


Total programme fees £6,000 Per 15-credit module £500

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