Program Overview

MSc Big Data and Data Science Technology (with Advanced Practice)

The MSc Big Data and Data Science Technology (with Advanced Practice) is a postgraduate program designed to equip students with the skills and knowledge required to work in the field of big data and data science. The program is offered by Northumbria University London Campus and is available for full-time study.

Overview

The program aims to provide students with a comprehensive understanding of big data and data science, including the principles, techniques, and tools used in the field. Students will learn how to manage, manipulate, and model large datasets, as well as how to apply machine learning and data analytics techniques to real-world problems.

Key Facts

• Duration: 1 year (up to 2 years with advanced practice)
• Mode of Study: Full-time classroom
• Tuition Fee: UK/Home Fee: £11,000 (25/26), International Fee: £20,950 (25/26)
• Entry Requirements: Minimum 2:2 honours degree, or equivalent in any subject
• English Language Requirements: IELTS 6.5, with no single element below 5.5, or equivalent

Course Structure

The program consists of several modules, including:

• Information Governance and Cyber Security: This module provides an introduction to the principles and practices of information governance and cyber security.
• Leadership in a Digital Age: This module focuses on the development of leadership and team management skills in a digital context.
• Applied Data Science: This module introduces students to the principles and techniques of applied data science, including data management, manipulation, and modeling.
• Contemporary Computing and Digital Technologies: This module provides an overview of contemporary computing and digital technologies, including big data, cloud computing, and the Internet of Things.
• Big Data Analytics: This module focuses on the principles and techniques of big data analytics, including data mining, machine learning, and data visualization.
• Machine Learning on Cloud: This module introduces students to the principles and techniques of machine learning on cloud platforms, including Google Cloud, Microsoft Azure, and Amazon Web Services.

Advanced Practice Stage

The advanced practice stage of the program provides students with the opportunity to gain practical experience in a real-world setting. This can be achieved through a variety of means, including:

• Internship: Students can undertake a 12-week internship with a company or organization, applying the skills and knowledge gained during the program to a real-world project.
• Group Consultancy Project: Students can work on a group consultancy project, applying the skills and knowledge gained during the program to a real-world problem or challenge.
• Research Project: Students can undertake a research project, applying the skills and knowledge gained during the program to a specific research question or topic.
• Professional Skills Practice: Students can undertake a professional skills practice module, focusing on the development of specific skills and competencies required in the field of big data and data science.
• Business Start-up: Students can undertake a business start-up module, focusing on the development of a business plan and the launch of a new venture.

Career Opportunities

The MSc Big Data and Data Science Technology (with Advanced Practice) program is designed to equip students with the skills and knowledge required to pursue a career in the field of big data and data science. Career opportunities may include:

• Data Scientist: Data scientists work with large datasets to identify trends and patterns, and to develop predictive models and algorithms.
• Data Engineer: Data engineers design, build, and maintain large-scale data systems, including data warehouses and data lakes.
• Business Analyst: Business analysts work with organizations to identify business needs and develop solutions, using data analysis and machine learning techniques.
• Data and Analytics Manager: Data and analytics managers oversee the development and implementation of data-driven solutions, including data analytics and machine learning models.
• Business Intelligence Analyst: Business intelligence analysts work with organizations to develop and implement business intelligence solutions, including data visualization and reporting tools.

Fees and Finance

The tuition fee for the MSc Big Data and Data Science Technology (with Advanced Practice) program is £11,000 (25/26) for UK/Home students and £20,950 (25/26) for international students. Students may be eligible for scholarships or bursaries to help fund their studies.

Entry Requirements

The entry requirements for the MSc Big Data and Data Science Technology (with Advanced Practice) program include a minimum 2:2 honours degree, or equivalent in any subject. Students must also meet the English language requirements, which include an IELTS score of 6.5, with no single element below 5.5, or equivalent.

Conclusion

The MSc Big Data and Data Science Technology (with Advanced Practice) program is a comprehensive and practical program that equips students with the skills and knowledge required to pursue a career in the field of big data and data science. With a focus on practical experience and real-world applications, this program is ideal for students who want to develop a career in this exciting and rapidly evolving field.