MSc Finance
The MSc Finance course at the University of Plymouth in the UK offers a comprehensive a...
MSc Data Science and Business Analytics
Plymouth
INTAKE: September
Program Overview
The MSc Data Science and Business Analytics program at the University of Plymouth offers a comprehensive curriculum that covers both technical and business aspects of data science.
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Core Technical Modules: The program includes core modules that provide a solid foundation in data science. These modules cover topics such as data mining, machine learning, statistical analysis, data visualization, and big data analytics. Students learn to apply advanced techniques and tools to analyze large datasets and uncover patterns and trends.
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Business Analytics Modules: The program also includes modules that focus on the application of data science in a business context. Students learn how to translate data insights into meaningful business recommendations, understand customer behavior, optimize business processes, and make data-driven decisions. These modules provide students with the necessary skills to bridge the gap between technical analysis and business strategy.
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Practical Skills Development: The program emphasizes the development of practical skills through hands-on projects and case studies. Students have the opportunity to work with real-world datasets and use industry-standard tools and software to analyze and interpret data. They learn to apply data science techniques in practical business scenarios and gain valuable experience in data manipulation, modeling, and visualization.
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Industry Collaboration: The program fosters strong ties with industry partners, providing students with opportunities for industry collaboration and real-world experiences. Students may have the chance to work on industry-sponsored projects, engage in internships or placements, or participate in guest lectures and workshops conducted by industry professionals. This collaboration enhances students' understanding of data science in a business context and facilitates networking and career opportunities.
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Research and Innovation: The program encourages research and innovation in data science and business analytics. Students have the opportunity to undertake a research project or dissertation, allowing them to delve deeper into a specific area of interest and contribute to the advancement of knowledge in the field. They may work closely with faculty members and industry experts to explore cutting-edge research topics and emerging trends.
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Professional Development: The program focuses on developing students' professional skills and enhancing their employability. Students have access to career development resources, including workshops, networking events, and career counseling services. They learn essential skills such as communication, teamwork, problem-solving, and critical thinking, which are highly valued in the industry.
Location
Plymouth
Score
IELTS 6.5
Tuition Fee
£ 16700
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% 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 6.0.
- TOEFL: A minimum overall score of 76, with at least 17 in Listening, 18 in Reading, 20 in Speaking, and 18 in Writing.
- PTE Academic: A minimum overall score of 59 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 Plymouth offers various scholarships and financial support options to help students fund their studies.
- Vice-Chancellor's Scholarships: These scholarships are awarded to high-achieving students who demonstrate exceptional academic excellence and potential. The scholarships provide a partial tuition fee waiver for the duration of the program.
- International Academic Excellence Scholarships: These scholarships are available for international students who have achieved outstanding academic results. The scholarships offer a partial tuition fee reduction for the first year of study.
- International Plymouth Global Scholarships: These scholarships are designed to attract high-caliber international students to the University of Plymouth. The scholarships provide a partial tuition fee reduction for the first year of study.
- Sport Scholarships: The university offers sport scholarships to talented athletes who have achieved a high level of sporting excellence. The scholarships provide support in the form of financial assistance, training, and access to sports facilities.
- Subject-Specific Scholarships: Some academic departments at the University of Plymouth offer subject-specific scholarships for students enrolled in particular programs or disciplines. These scholarships may be based on academic merit, research potential, or other criteria determined by the department.
Graduates of the MSc Data Science and Business Analytics program from the University of Plymouth have excellent career prospects in the rapidly growing field of data science.
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Data Analyst: Graduates can work as data analysts, responsible for collecting, cleaning, and analyzing data to extract meaningful insights. They may work in various industries such as finance, healthcare, retail, or marketing, helping organizations make data-driven decisions and improve their business performance.
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Business Intelligence Analyst: Graduates can pursue careers as business intelligence analysts, focusing on analyzing and interpreting data to provide insights and recommendations for business strategy and decision-making. They may work closely with stakeholders to identify key performance indicators, monitor business trends, and develop data-driven solutions.
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Data Scientist: Graduates can work as data scientists, using advanced statistical and machine learning techniques to develop predictive models and algorithms. They may work on complex data projects, including predictive analytics, recommendation systems, or fraud detection, to drive business growth and innovation.
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Data Consultant: Graduates may choose to work as data consultants, providing advisory services to organizations on data-related matters. They may assist with data strategy, data governance, and data management, helping organizations harness the power of data for competitive advantage.
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Business Analyst: Graduates can pursue careers as business analysts, focusing on understanding business requirements and translating them into data-driven solutions. They may work closely with stakeholders to identify business needs, define project scopes, and ensure that data initiatives align with business objectives.
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Research and Academia: Graduates with a research interest may choose to pursue careers in research or academia. They may work as researchers or research associates in universities, research institutions, or industry-focused research organizations, contributing to the advancement of data science and business analytics through innovative research projects.
