MSc Computer Science with International Business
Intake:- January & September The MSc program in Computer...
MSc Business Analytics and Big Data
Dundee City Campus
INTAKE: Jan & Sept
Program Overview
The MSc Business Analytics and Big Data program at the University of Dundee is designed to equip students with advanced knowledge and skills in utilizing big data analytics to drive business decision-making. This program focuses on the strategic use of big data and the application of analytics techniques to gain valuable insights and create a competitive advantage in the business world.
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Data Analytics Techniques: Students learn a wide range of data analytics techniques, including data mining, machine learning, statistical modeling, and predictive analytics. They gain hands-on experience in analyzing large datasets using tools and programming languages such as Python, R, and Hadoop.
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Big Data Management: The program covers the principles and practices of managing big data, including data acquisition, storage, and processing. Students learn about data architectures, cloud computing, and distributed computing frameworks to handle the challenges posed by large and complex datasets.
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Data Visualization and Communication: Students develop skills in effectively visualizing and communicating insights from big data. They learn how to create informative and visually appealing dashboards, reports, and data visualizations using tools such as Tableau and Power BI.
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Business Applications of Big Data Analytics: The program explores how big data analytics can be applied to solve business challenges and drive innovation. Students study real-world case studies and work on industry projects to apply their knowledge in areas such as marketing analytics, customer segmentation, supply chain optimization, and fraud detection.
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Ethical and Legal Considerations: The program emphasizes the importance of ethical and responsible use of big data. Students learn about privacy regulations, data protection, and ethical implications in data analytics projects. They develop a critical understanding of the ethical challenges associated with handling large volumes of data.
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Industry Collaboration: The program fosters industry collaboration through guest lectures, workshops, and industry projects. Students have the opportunity to work with leading organizations to solve real-world big data challenges, gaining valuable insights and practical experience.
Location
Dundee City Campus
Score
IELTS 6.5
Tuition Fee
£ 20900
Postgraduate Entry Requirements:
- Applicants should have successfully completed a bachelor's degree or its equivalent from a recognized institution with a minimum overall score of 55 to 60% or equivalent.
- English language proficiency is required, and applicants must provide evidence of their English language skills through an approved language test.
- IELTS: A minimum overall score of 6.5 with no individual component below 6.
- TOEFL: A minimum overall score of 80, with at least 17 in Listening, 18 in Reading, 20 in Speaking, and 19 in Writing.
- PTE Academic: A minimum overall score of 62 with no individual score below 59.
- Some postgraduate programs may have specific subject prerequisites or additional requirements.
Students must provide:
- academic marksheets & transcripts
- letters of recommendation
- a personal statement - SOP
- passport
- other supporting documents as required by the university.
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 Dundee offers a range of scholarships and financial support opportunities to both domestic and international students. These scholarships are designed to recognize academic excellence, support talented students, and promote diversity and inclusion.
- Global Excellence Scholarship: This scholarship is available to international undergraduate and postgraduate students who demonstrate outstanding academic achievements. The scholarship provides a reduction in tuition fees.
- Vice-Chancellor's International Scholarship: This scholarship is open to international undergraduate and postgraduate students from selected countries. It provides a partial tuition fee reduction.
- Santander Scholarship: This scholarship is available to undergraduate and postgraduate students from eligible countries. It aims to support international students studying at the University of Dundee by providing financial assistance towards tuition fees.
- Alumni Scholarship: This scholarship is open to self-funded international students who have previously completed an undergraduate degree at the University of Dundee. It offers a reduction in tuition fees for postgraduate study.
Graduates of the MSc Business Analytics and Big Data program have excellent career prospects in various industries where big data analytics is in high demand.
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Data Analyst/Scientist: Graduates can work as data analysts or data scientists, responsible for analyzing large datasets, building predictive models, and deriving actionable insights for businesses.
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Business Intelligence Analyst: Graduates can pursue careers as business intelligence analysts, using big data analytics to provide strategic insights and support decision-making processes within organizations.
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Data Engineer: Graduates can work as data engineers, responsible for designing and managing data infrastructure, building data pipelines, and ensuring the availability and quality of big data for analysis.
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Big Data Consultant: Graduates can work as consultants, helping organizations develop big data strategies, implement analytics solutions, and optimize their data-driven decision-making processes.
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Data Manager: Graduates can pursue roles as data managers, responsible for overseeing data governance, quality, and security within organizations. They ensure compliance with regulations and establish data management best practices.
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Business Analyst: Graduates can work as business analysts, utilizing big data analytics to identify trends, uncover insights, and provide recommendations to improve business performance and competitiveness.
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Research Analyst: Graduates can pursue research analyst positions, conducting data-driven research projects to support business strategy, market analysis, and industry trends.
