MSc Business & Management (MBM)
The MSc Business & Management program at the University of Strathclyde is designed ...
MSc Data Analytics
Glasgow
INTAKE: September
Program Overview
The MSc Data Analytics program at the University of Strathclyde offers students a comprehensive understanding of data analysis techniques, tools, and methodologies.
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Comprehensive Curriculum: The program covers a wide range of topics, including data visualization, machine learning, statistical modeling, big data analytics, and data mining. Students gain a strong foundation in both theoretical concepts and practical applications.
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Data-driven Decision Making: The program emphasizes the use of data-driven decision making in various sectors. Students learn how to extract meaningful insights from large datasets, analyze complex data structures, and effectively communicate their findings to stakeholders.
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Industry-Relevant Skills: The curriculum focuses on developing practical skills that are in high demand in the industry. Students gain hands-on experience with data analytics tools and technologies such as Python, R, SQL, and Tableau. They also work on real-world projects and case studies to enhance their problem-solving abilities.
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Collaboration with Industry: The University of Strathclyde has strong ties with industry partners, offering students opportunities for collaboration and internships. These partnerships provide real-world exposure, allowing students to apply their knowledge and skills to industry challenges and gain valuable work experience.
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Cutting-Edge Facilities: The university provides access to state-of-the-art facilities and computer labs equipped with the latest data analytics software and tools. Students have the opportunity to work with large datasets and employ advanced analytics techniques to derive valuable insights.
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Research Opportunities: The program offers research opportunities, enabling students to engage in independent or collaborative research projects. They can work closely with faculty members who are actively involved in cutting-edge research in data analytics, contributing to advancements in the field.
Location
Glasgow
Score
IELTS 6.5
Tuition Fee
£ 23200
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 65% 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, Reading, Speaking, Writing.
- PTE Academic: A minimum overall score of 60 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 Strathclyde offers a range of scholarships and financial aid options to support students in their academic journey. These scholarships are designed to recognize excellence, provide access to education, and support students in pursuing their goals.
- Faculty-specific Scholarships: Many faculties within the University of Strathclyde offer scholarships tailored to specific areas of study. These scholarships aim to attract exceptional students and provide them with financial support throughout their academic program.
- Postgraduate Taught Performance Sport Scholarship: The University of Strathclyde recognizes the achievements of student-athletes and offers performance sport scholarships at the postgraduate level. These scholarships provide financial assistance and additional support to help athletes balance their sporting and academic commitments.
- Research Scholarships: The university also offers a range of scholarships for students pursuing postgraduate research degrees. These scholarships may cover tuition fees, living expenses, and research-related costs, providing valuable support for students engaged in cutting-edge research projects.
Graduates of the MSc Data Analytics program from the University of Strathclyde have excellent career prospects in various industries.
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Data Analyst: Graduates can work as data analysts, collecting, cleaning, and analyzing data to extract insights and support decision-making processes. They may be employed in sectors such as finance, marketing, healthcare, or e-commerce.
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Data Scientist: Graduates can pursue careers as data scientists, employing advanced statistical modeling, machine learning, and predictive analytics techniques to solve complex business problems. They may work on projects related to customer segmentation, fraud detection, or recommendation systems.
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Business Intelligence Analyst: Graduates can work as business intelligence analysts, helping organizations understand their data and make strategic decisions. They may be responsible for developing dashboards, visualizing data, and providing actionable insights to stakeholders.
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Data Engineer: Graduates can pursue careers as data engineers, focusing on the design, implementation, and maintenance of data infrastructure and data pipelines. They may work with big data technologies such as Hadoop, Spark, or cloud-based data platforms.
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Consulting: Graduates can work as data analytics consultants, providing expertise to organizations seeking to enhance their data-driven capabilities. They may advise clients on data strategy, implementation of analytics solutions, or data governance practices.
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Academia and Research: Graduates can pursue further studies or research positions in academic institutions or research organizations. They can contribute to cutting-edge research in data analytics, teach data science courses, or pursue a Ph.D. in a specialized field.
