Business Analytics and Big Data MSc

Program Overview

The program emphasizes data organization, administration, and governance, along with analytical, organizational, and leadership skills. Graduates are prepared for roles in digital business, AI solutions, and supply chain management, with career opportunities in companies like Amazon and PepsiCo.

Program Outline

The program emphasizes the importance of business analytics and data understanding in a rapidly evolving digital world. It aims to develop students' knowledge of data organization, administration, and governance, while honing their analytical, organizational, and leadership skills. The program is suitable for students seeking careers in this dynamic field or those wishing to pursue PhD-level studies.

Outline:

The 12-month full-time program consists of five compulsory modules and three optional modules in each semester, followed by a final project over the summer period. Students can choose between the Business Simulation and Analysis (EBUS635) or MSc Project (EBUS621) for their final project.

Semester One:

• Compulsory Modules:
• Data Mining and Machine Learning (EBUS537): This module provides a comprehensive understanding of data mining and machine learning principles and techniques, covering pervasive data analysis techniques and their applications.
• Digital Business Technology and Management (EBUS603): This module focuses on the management approaches and technologies used in developing and delivering digital business and AI solutions, including types of digital businesses, innovation, management approaches, data-related technologies, and emerging AI and machine learning technologies.
• Optional Modules:
• OPERATIONS MODELLING AND SIMULATION (EBUS504): This module introduces the role of modelling and simulation in improving business processes, covering analytical techniques of systems, statistical aspects of modelling, and system dynamics.
• Global Maritime Logistics (EBUS632): This module provides a comprehensive understanding of maritime-associated transport chains and the principles, tools, and techniques to address issues from a quantitative/analytical perspective.

Semester Two:

• Compulsory Modules:
• Digital Strategy (EBUS605): This module focuses on developing a digital business strategy leveraging AI technologies, examining approaches to strategy formulation, emergent digital business models, business process re-design, digital business applications and technologies, and managing and planning for digital business.
• Optional Modules:
• LOGISTICS AND PHYSICAL DISTRIBUTION (EBUS609): This module provides a thorough grounding in contemporary logistics operations and business management, covering intermodal operations, transportation selection, warehousing and distribution management, and green logistics services.
• Global Corporate Strategy (ULMS519): This module provides a comprehensive understanding of global corporate strategy, examining the theoretical foundations of strategy and the factors that distinguish international strategy from domestic strategy.
• Sustainable Supply Chain Management (EBUS636): This module provides a critical understanding of the role of sustainability in supply chain management, exploring the strategic perspective of supply chain management and how sustainable practices are embedded within the strategic sourcing process.

Final Project:

• Compulsory Modules:
• MSC PROJECT (EBUS621): This module introduces students to the principles and practices of researching and writing dissertations, resulting in an agreed outline plan of work for the dissertation and a completed literature review.
The dissertation itself is undertaken over the summer period and involves implementing the research work plan and completing a 15,000-word dissertation.

Assessment:

Assessment methods vary across modules and may include coursework, essays, group work, presentations, case studies, negotiation exercises, reports, and examinations. The weighting of individual components varies from one module to another.

Teaching:

Modules are taught using active learning techniques, including business simulations, real-world case studies, coding in higher-level programming languages (e.g., RStudio, Python), business analytics software (e.g., Tableau, Qlik, SAP), interactive participation software, lecture capture, tutorials, and project work. The principal forms of teaching are lectures and seminars or computer labs, with most sessions supported by additional resources such as hand-outs and online materials accessible via the virtual learning environment (Canvas).

Careers:

Graduates of the program are well-equipped to meet the challenges associated with strategic, operational, and technological adaptation in the digital enterprise. They are prepared for roles such as PCB engineer, Reward Analyst, Lead Commercial Analyst, and Business solution architect. Alumni have secured jobs with companies like Hampshire Bank Trust, Ericcson UK, Amazon, and Liverpool Association for Space Engineering Research.

Other:

The program is developed in collaboration with industry contributors and partners, including PepsiCo and AstraZeneca, and is underpinned by multidisciplinary research. The University of Liverpool Management School holds the gold standard ‘triple-crown’ accreditation from AACSB, AMBA, and EQUIS. The School has a thriving international master’s community with a comprehensive, interdisciplinary program of social and extra-curricular events and dedicated careers and employability support.

Tuition Fees:

UK fees (applies to Channel Islands, Isle of Man and Republic of Ireland) Full-time place, per year £14,250 Part-time place, per year £7,125 International fees Full-time place, per year £28,500 Part-time place, per year £14,250