MSc Big Data Analytics

Markeaton Street, Derby Campus

 

INTAKE: Jan & Sept

Program Overview

This postgraduate program aims to provide both theoretical insights and practical expertise in managing and analyzing large datasets. It is tailored for graduates from STEM disciplines and professionals seeking to enhance their data analytics proficiency. The curriculum emphasizes business intelligence, data analytics, and database technologies, preparing students to address complex data challenges across various industries. ​

Curriculum: The MSc program is structured into three stages: Postgraduate Certificate, Postgraduate Diploma, and MSc. Core modules include Statistical Techniques, Processing Big Data, Business Analytics, and Analytics: Ethics, Trust, and Governance. Students also have the option to choose electives such as Information Visualisation and Natural Language Processing. The program culminates in an Independent Scholarship project, allowing students to apply their learning to real-world data challenges.

Research Focus: The University of Derby's Data Science Research Centre drives innovative research in areas like digital society, collaborative engineering, and health and wellbeing. Faculty members actively engage in projects that enhance data-driven decision-making and problem-solving across various sectors. This research-centric approach ensures that the curriculum remains aligned with the latest advancements in data science. ​

Industry Engagement: In collaboration with SAS, a global leader in data analytics, the university offers students access to advanced analytics tools and platforms. This partnership enriches the learning experience, providing exposure to industry-standard software and methodologies. Additionally, the program emphasizes addressing real-world industry problems, fostering strong links with employers through research and consultancy projects. ​

Global Perspective: The University of Derby celebrates diversity, with a student body representing over 100 countries. This multicultural environment enriches the learning experience, offering students a global perspective on data analytics applications. Support services, including the International Student Centre, assist international students in adapting to academic and cultural life in the UK.

Pollster Education

Location

Markeaton Street, Derby Campus

Pollster Education

Score

IELTS 6.5

Pollster Education

Tuition Fee

£ 14900

Postgraduate Entry Requirements

Academic Qualifications: Applicants should have successfully completed a bachelor's degree or its equivalent from a recognized institution with a minimum overall score of 60% or equivalent.

English language proficiency:

  • IELTS: A minimum overall score of 6.0 or 6.5 with no individual component below 6.0.
  • PTE Academic: A minimum overall score of 71.
  • Some postgraduate programs may have specific subject prerequisites or additional requirements.

The University of Derby offers various scholarships and funding opportunities to support international students financially. These scholarships are designed to ease the financial burden of studying abroad and make higher education more accessible for students from diverse backgrounds.

Vice-Chancellor’s Scholarship: The University of Derby offers the prestigious Vice-Chancellor’s Scholarship for international students. This scholarship provides up to £2,000 for students enrolling in undergraduate or postgraduate programs. It is awarded based on academic merit and achievements, recognizing outstanding students who demonstrate potential in their field of study.

International Student Scholarship: The International Student Scholarship is designed to assist new international students with their tuition fees. This scholarship offers up to £2,000 for students from specific countries or regions and is awarded to students who meet the academic requirements and demonstrate contributing to the international community at the University of Derby.

International Postgraduate Scholarship: For international students applying to postgraduate programs, the University of Derby offers the International Postgraduate Scholarship. This scholarship provides £2,000 towards the tuition fees for eligible students pursuing a master’s degree or other postgraduate qualifications. The award is based on academic performance and intended to support students from across the globe in furthering their education.

Country-Specific Scholarships: In addition to general scholarships, the University of Derby offers country-specific scholarships for students from particular regions. These scholarships aim to support students from countries such as India, China, Nigeria, and many more. The value of these scholarships varies, but they often range from £1,000 to £3,000, depending on the country and the student's academic background.

Alumni Loyalty Discount: The University of Derby offers a special alumni discount for students who have previously studied at the university. International students who have completed a degree or program at Derby and return for further study are eligible for this discount, which helps to reduce the overall cost of their education.

Early Bird Discount: International students who apply early may be eligible for the Early Bird Discount, which provides a reduction in tuition fees for students who accept an offer of admission before a specified deadline. This discount is intended to encourage timely applications and assist students with their planning.

External Scholarships: In addition to internal scholarships, international students are encouraged to explore external scholarship opportunities. The University of Derby provides guidance and resources to help students identify and apply for scholarships offered by government bodies, organizations, and private foundations in their home countries or internationally.

Graduates of the MSc Big Data Analytics program from the University of Derby are well-positioned for a wide range of career opportunities across various industries. With the exponential growth of data in every sector, the demand for professionals who can analyze, interpret, and derive actionable insights from large datasets is at an all-time high. 

Data Scientist: As one of the most in-demand roles, data scientists analyze large datasets using statistical tools, machine learning, and predictive models to uncover patterns and trends that drive business decisions.

Big Data Analyst: Big Data Analysts focus on processing, analyzing, and interpreting massive datasets to extract valuable insights that can improve business strategies, operational efficiency, and decision-making.

Business Intelligence Analyst: These professionals work closely with organizations to develop data-driven strategies. They use analytics tools to translate complex data into actionable insights that enhance business performance.

Data Engineer: Data engineers are responsible for designing, building, and maintaining the infrastructure needed to process and analyze big data. They work with various tools and technologies to manage databases and ensure data flows efficiently.

Machine Learning Engineer: Graduates can also pursue careers as machine learning engineers, where they develop algorithms that enable machines to learn from data without explicit programming.

Data Architect: Data architects are responsible for creating the blueprints for data management systems. They design and maintain the structure that allows for efficient data storage, retrieval, and analysis.

Data Consultant: Consultants provide expert advice to businesses on how to best leverage big data and analytics tools to enhance their operations and drive growth. This role requires both technical expertise and strategic thinking.

Cybersecurity Analyst: With data security becoming increasingly important, cybersecurity analysts work to ensure that the organization's data is protected from cyber threats. They use data analytics to monitor and respond to potential security risks.

AI Specialist: Graduates can pursue careers in artificial intelligence (AI), where they develop and implement AI solutions that utilize data analytics to automate processes and improve efficiency in various sectors.

Quantitative Analyst: Commonly found in financial services, quantitative analysts use statistical models and data to identify trends, assess risks, and inform investment strategies.


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