MSci/BSc (Hons) Data Science

Program Overview

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Coventry University's Data Science MSci/BSc (Hons) program equips students with the skills and knowledge necessary for a successful career in the dynamic field of data science. The program emphasizes modern applications, computational methods, and industry-relevant experience, preparing graduates for high-demand roles in various sectors. With a focus on mathematical and statistical foundations, data programming and analysis, and professional development, the program provides a comprehensive foundation for students to excel in the rapidly growing field of data science.

Program Outline

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Data Science MSci/BSc (Hons) - Coventry University

Degree Overview:

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Key Objectives:

• Equip students with transferable and professional skills for employment in industry, business, or education.
• Develop critical and reflective skills for problem-solving in various contexts.
• Provide emphasis on modern applications and the use of appropriate computational methods, software and technology.
• Improve knowledge and understanding of the theory and practice of the latest data science and computational methods.
• Offer students industry-relevant experience through applying real-world, commercial software development practices and team collaboration, preparing them for their career after graduation.

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Why Choose This Course:

• Gain the skills to be successful in a high-demand field with diverse career options.
• Learn the fundamentals of programming, mathematics, statistics and data analysis.
• Develop modern applications of computational methods and software.
• Be prepared for work in industry or academia through research, development and innovation.
• Gain industry-specific experience and skills through teamwork, collaboration and real-world application of data science principles.

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Overall Program Focus:

• Mathematical and Statistical Foundations
• Data Programming and Analysis
• Computational Methods
• Applications and Research in Modern Data Science
• Professional Development
• Industry Partnerships

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Additional Highlights:

• Ranked Joint Top Modern University for Career Prospects (Guardian University Guide 2021 and 2022).
• 5 QS Stars for Teaching and Facilities (QS Stars University Ratings).
• Top 5 UK Student City (Coventry) (QS Best Student Cities Index 2023).

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Outline:

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Course Structure:

• Year 1: Foundational knowledge in data analysis and computing, with laboratory sessions and professional skills sessions.
• Year 2: Advanced knowledge and skills in data science, linear statistical models, artificial intelligence, and more.
• Year 3: Capstone projects and advanced topics in data science, including Big Data management and visualisation, machine learning algorithms, and artificial neural networks.
• Year 4 (MSci only): Deeper exploration of advanced data science topics and preparation for postgraduate research and further studies.
• Optional Work Placement: Between years 2 and 3, gaining valuable work experience and skills in the industry.

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Modules:

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Year 1:

• Calculus
• Algebra
• Programming: Concepts and Algorithms
• Working with Data
• Programming: Professional Practice
• Probability and Statistics

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Year 2:

• Artificial Intelligence
• Linear Algebra and Differential Equations
• Advanced Algorithms
• Data Science
• Linear Statistical Models
• Data Science Group Project

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Year 3:

• Data Visualisation
• Statistical methods for Data Science
• Machine Learning
• Project Discovery
• Dissertation and Project Artefact
• (One of three possible elective modules: Artificial Neural Networks, Mobile Application Development, Advanced Topics in Statistics)

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Year 4 (MSci only):

• Artificial Neural Networks
• Machine Learning
• Information Retrieval
• Big Data Analytics and Data Visualisation
• Data Management Systems
• Modelling and Optimisation Under Uncertainty
• Individual Research Project Preparation
• Individual Research Project

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Assessment:

• Formal examinations and coursework
• Individual assignments
• Group projects and presentations
• Project proposals and reports
• Phase tests
• Essays
• Exams
• Individual assessments

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Assessment Criteria:

• Demonstration of knowledge and understanding
• Application of skills and techniques
• Critical thinking and problem-solving
• Communication and presentation
• Teamwork and collaboration

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Teaching:

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Learning Methods:

• Lectures
• Seminars
• Workshops
• Lab sessions
• Online activities
• Group work
• Self-directed study
• Work placements

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Course Support:

• Course support sessions
• Drop-in sessions
• One-to-one appointments
• Online resources

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Teaching Staff:

• Experienced and qualified faculty with expertise in various areas of data science.
• Active researchers engaged in cutting-edge research projects.

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Careers:

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Possible Career Paths:

• Data Analyst
• Data Scientist
• Machine Learning Engineer
• Artificial Intelligence Specialist
• Data Architect
• Data Management Specialist
• Research Scientist
• Statistician

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Employment Sectors:

• Business and Industry
• Government and Public Sector
• Research and Development
• Healthcare
• Finance
• Marketing
• Education
• Technology

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Graduate Employability:

• Well-prepared to enter the workforce in a rapidly growing field.
• Strong problem-solving skills and analytical thinking.
• Expertise in programming, data analysis and computational methods.
• Excellent communication and teamwork abilities.
• Prepared for further study or research in data science and related fields.

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Other:

• Work Placement: An optional year between your second and final year, offering industry experience and valuable skills development.
• Program Length: BSc: 3 years full-time, 4 years sandwich; MSci: 4 years full-time, 5 years sandwich.
• Tuition Fees: £9,250 per year for UK students; £19,850 per year for international students.
• English Language Requirements: IELTS 6.0 overall, with no component lower than 5.5.

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Additional Notes:

• We strongly encourage you to refer to the official Coventry University website for the latest and most accurate information on this MSci/BSc (Hons) Data Science program.
• Consider visiting the Coventry University Data Science pages for further details on faculty research interests, program updates and additional resources.

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Tuition Fees and Payment Information:

• UK, Ireland , Channel Islands or Isle of Man: £9,250 per year
• £19,850 per year without EU support bursary
• International: £19,850 per year
If you choose to do a work placement2, you should consider travel and living costs to cover this. There is also a tuition fee3 of £1,250 that will cover your academic support throughout your placement year.