Data Science

Program Overview

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Aston University's Data Science MSc program equips students with the skills and knowledge to excel in the rapidly evolving field of data science. Combining theoretical foundations with practical applications, the program emphasizes hands-on learning through case studies, internships, and a research project. Graduates are highly sought after by employers and have secured positions in leading organizations, making this program an excellent choice for individuals seeking a career in data science.

Program Outline

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Degree Overview:

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Aston University's Data Science MSc program

equips students with the skills and knowledge needed to thrive in the rapidly evolving field of data science. This program is designed for individuals from diverse academic backgrounds, including mathematics, statistics, computer science, and engineering, who possess strong mathematical and programming skills.

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Objectives:

• Provide students with a deep understanding of data science concepts and techniques.
• Equip students with the ability to apply data science methodologies to real-world problems.
• Develop critical thinking and problem-solving skills in the context of data analysis.
• Foster effective communication and presentation skills for data science findings.

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Description:

The program combines theoretical foundations with practical applications, emphasizing hands-on learning through case studies, internships, and a research project. Students engage with cutting-edge technologies and gain valuable insights from industry leaders and academics.

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Outline:

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Program Content:

• Covers core data science topics including machine learning, artificial intelligence, data visualization, and predictive modeling.
• Explores advanced techniques such as probabilistic modeling, network science, and deep learning.
• Emphasizes the practical application of data science through hands-on projects and case studies.

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Structure:

• The program consists of two stages: a taught stage and a dissertation stage.
• The taught stage comprises 120 credits of coursework, including modules like statistical machine learning, data science programming, and research skills.
• The dissertation stage involves a 60-credit independent research project, allowing students to delve deeper into a specific area of interest.

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Course Schedule:

The program operates on a semester system, with coursework typically delivered in blocks throughout the year.

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Individual Modules:

• Statistical Machine Learning: Explores fundamental statistical and machine learning concepts and algorithms.
• Specialist Research Skills and Techniques: Develops research and academic writing skills.
• Probabilistic Modelling: Investigates probabilistic models for data analysis.
• Data Science Programming: Focuses on programming languages and tools used in data science.
• Artificial Neural Networks: Explores the principles and applications of deep learning.
• Network Science: Examines the theory and analysis of complex networks.
• Fundamentals of Data Analytics: Provides a comprehensive introduction to data analytics concepts.

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Dissertation Stage:

• Students conduct an independent research project under the supervision of faculty members.
• The project allows students to apply their acquired knowledge and skills to a real-world problem.

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Assessment:

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Assessment Methods:

• Coursework assignments, projects, and presentations.
• Module-specific examinations.
• Final dissertation评估

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Teaching:

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Teaching Methods:

• Interactive lectures and seminars.
• Hands-on laboratory sessions.
• Research project supervision.
• Small group tutorials.
• Guest lectures from industry experts.

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Faculty:

• The program faculty comprises experienced researchers and practitioners in the field of data science.
• Faculty members bring a wealth of expertise and industry experience to the classroom.

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Unique Approaches:

• Strong emphasis on practical learning through projects and case studies.
• Incorporation of industry insights from guest lectures and partnerships.
• Collaborative learning environment fostered through small group tutorials and project work.

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Careers:

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Career Paths:

• Data Analyst
• Data Scientist
• Machine Learning Engineer
• Business Intelligence Analyst
• Research Scientist

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Career Opportunities:

• The program prepares graduates for diverse career opportunities in various industries, including:
• Finance
• Technology
• Healthcare
• Retail
• Government

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Graduate Outcomes:

• Graduates are highly sought after by employers and have secured positions in leading organizations such as Google, Amazon, and Microsoft.

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Other:

• The program is internationally recognized, attracting students from diverse backgrounds.
• Aston University provides a supportive learning environment and offers various student support services.
• Aston University is located in Birmingham, a vibrant and multicultural city with a thriving job market.

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UK students(2024/25)

Annual tuition fees: £11,150

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International students(2024/25)

Annual tuition fees: £21,500