MSc Finance and Investment Banking
The MSc Finance and Investment Banking program at the University of Hertfordshire is de...
Hatfield Campus
INTAKE: Jan & Sept
The MBA (Data Analytics) program at the University of Hertfordshire combines the core principles of business management with a strong focus on data analytics. The program prepares students to harness the power of data and use it to drive business growth, optimize operations, and make informed strategic decisions.
Core Business Foundation: The program provides students with a solid foundation in key business areas such as marketing, finance, operations, and leadership. This enables students to understand the broader business context in which data analytics plays a crucial role.
Data Analytics Techniques: The curriculum covers a wide range of data analytics techniques, including data mining, predictive modeling, machine learning, and statistical analysis. Students learn how to collect, clean, and analyze data to extract meaningful insights and make data-driven decisions.
Big Data Management: The program focuses on the management and utilization of big data. Students learn about data storage, processing, and visualization techniques. They gain an understanding of technologies such as Hadoop and cloud-based analytics platforms that enable the handling of large volumes of data.
Business Intelligence: The curriculum emphasizes the use of business intelligence tools and platforms for data visualization and reporting. Students learn how to create interactive dashboards and reports to communicate data insights effectively to stakeholders.
Strategic Decision-making: The program highlights the application of data analytics in strategic decision-making. Students learn how to identify business opportunities, assess risks, and formulate strategies based on data-driven insights. They also gain knowledge of ethical considerations in data analytics and privacy issues.
Industry Collaboration: The University of Hertfordshire maintains strong connections with industry partners, providing students with opportunities for industry collaborations, guest lectures, and real-world projects. These connections enhance students' practical understanding of data analytics and expose them to current industry practices.
Hatfield Campus
IELTS 6.5
£ 16950
Postgraduate Programs:
Students must provide:
Work experience: Some postgraduate courses may require relevant work experience in the field.
It is important to note that meeting the minimum entry requirements does not guarantee admission, as the university considers factors such as availability of places and competition for the program. Additionally, some courses may have higher entry requirements or additional selection criteria, such as interviews or portfolio submissions.
The University of Hertfordshire offers a range of scholarships and financial assistance programs to support international students in pursuing their education. These scholarships are designed to recognize academic excellence, encourage diversity, and provide opportunities for students who may face financial barriers.
It is important to note that each scholarship has specific eligibility criteria, application deadlines, and required documentation.
Graduates of the MBA (Data Analytics) program from the University of Hertfordshire have excellent career prospects in various industries and sectors.
Data Analyst/Scientist: Graduates can work as data analysts or data scientists, responsible for collecting, cleaning, and analyzing data to derive insights and support business decision-making. They use statistical techniques, machine learning algorithms, and data visualization tools to uncover patterns and trends in data.
Business Intelligence Manager: Graduates can pursue careers as business intelligence managers, responsible for developing and managing business intelligence systems and processes. They work closely with stakeholders to ensure data-driven decision-making and the effective use of analytics tools.
Data Strategy Consultant: Graduates can work as data strategy consultants, helping organizations develop data-driven strategies and implement analytics solutions. They assess the organization's data capabilities, identify opportunities for improvement, and provide guidance on data governance and data-driven culture.
Analytics Manager: Graduates can work as analytics managers, overseeing analytics teams and projects within organizations. They develop analytics strategies, ensure data quality and integrity, and provide guidance on the use of analytics tools and techniques.
Operations Manager: Graduates can pursue roles as operations managers, utilizing data analytics to optimize operational processes, improve efficiency, and reduce costs. They analyze supply chain data, identify bottlenecks, and implement data-driven solutions to enhance operational performance.