Data Science with Visualization MSc

Program Overview

The Data Science with Visualization MSc program equips students with the skills and knowledge to solve real-world problems using data analytics and visualization. Developed in collaboration with industry leaders, the program offers a comprehensive grounding in data science theory and application, with a focus on data visualization. Students gain hands-on experience through project work and have the opportunity to work on real-world projects. Graduates are highly sought-after by employers in various sectors, including healthcare, transport, and manufacturing.

Program Outline

Degree Overview: Data Science with Visualization MSc

Overview:

• Developed in collaboration with industry leaders to address the skills shortage in data analytics.
• Provides a comprehensive grounding in the theory and application of data science, with a focus on data visualization.
• Combines human perception and cognition with data analytics outputs.

Objectives:

• Equip students with the knowledge, experience, and expertise to solve real-world problems and realize data-driven insights for organizations.
• Develop students' skills in data analytics, visualization, and critical thinking.
• Prepare students for careers in data science and related fields.

Outline:

Program Structure:

• Three phases:
• Phase 1: Core knowledge and skills in statistics and computer science.
• Phase 2: Advanced technical modules and group project.
• Phase 3: Individual research and development project.
• Full-time: 12 months
• Part-time: 24 months

Course Schedule:

• Starts in September.
• Full-time students take two modules simultaneously in each phase.
• Part-time students have flexible schedules to accommodate their work.

Modules:

• Compulsory:
• Human Computer Interaction
• Data Visualization
• Image Informatics
• Data Management and Exploratory Data Analysis
• Data Science in the Wild (Group Project)
• Machine Learning with Project
• Complex Data Visualization
• Project and Dissertation in Data Science
• Statistical Foundations of Data Science
• Statistical Learning for Data Science
• Optional:
• Advanced AI
• Bayesian Methodology

Individual Project:

• Six-month project developed and deepened knowledge and skills.
• Can be undertaken at the University, in industry, or with the student's current employer.
• Assessed by a portfolio of practical work and an oral interview.

Assessment:

Assessment Methods:

• Computer assessment
• Dissertation
• Oral examination
• Oral presentation
• Practical lab report
• Poster
• Report

Assessment Criteria:

• Demonstrating a comprehensive understanding of the subject matter.
• Applying knowledge and skills to solve real-world problems.
• Communicating effectively both verbally and in writing.
• Working independently and as part of a team.

Teaching:

Teaching Methods:

• Lectures
• Seminars
• Tutorials
• Workshops
• Project work

Faculty:

• Experienced academics with international reputations in data science.
• Many have extensive experience in industry.

Unique Approaches:

• Strong industry focus.
• Emphasis on data visualization.
• Opportunity to work on real-world projects.

Careers:

Potential Career Paths:

• Data Scientist
• Data Analyst
• Business Intelligence Analyst
• Machine Learning Engineer
• Data Visualization Specialist

Career Opportunities:

• Various sectors, including healthcare, transport, cybersecurity, smart cities, and manufacturing.
• Leading organizations and research institutions.

Career Outcomes:

• Graduates are highly sought-after by employers.
• Many graduates go on to successful careers in data science and related fields.

Other:

• The program is delivered by the School of Computing and the School of Mathematics, Statistics and Physics.
• The program is based in the £58million Urban Sciences Building.
• The program is a partner of the Alan Turing Institute, the national institute for data science and artificial intelligence.
• The program is supported by a generous range of scholarships.

Conclusion:

The Data Science with Visualization MSc is a comprehensive and industry-focused program that provides students with the knowledge, skills, and experience to succeed in the field of data science. The program's emphasis on data visualization, real-world projects, and strong industry connections makes it an attractive option for students interested in pursuing a career in this growing field.