MSc Computer Science with Data Science distance learning

Program Overview

This online MSc in Computer Science with Data Science equips individuals with the skills to analyze complex data and solve real-world challenges. The program's flexible structure and expert faculty provide a comprehensive understanding of data science processes, techniques, and technologies. Graduates are well-prepared for careers in data analysis, data science, artificial intelligence, and other data-driven fields.

Program Outline

MSc Computer Science with Data Science: Detailed Extraction

Degree Overview:

• Program Overview: Designed for proactive individuals without a background in computer science, this program equips learners with the skills to analyze complex data and solve real-world challenges.
• Objectives: Graduates will be able to:
• Extract meaning from data and communicate it effectively.
• Utilize software and algorithms for data processing and analysis.
• Manage and lead data science projects effectively.
• Contribute to the advancement of data science in various sectors.
• Program Description:
• This 100% online program provides flexible learning for students around the globe.
• The curriculum, developed by experts, focuses on developing graduates with agility, expertise, and diverse skills suitable for a wide range of data science roles.
• Graduates will be equipped to leverage their skills in the face of skills shortages within the data science field.

Outline:

• Content: Focuses on data science processes, techniques, methodologies, data mining, informatics, data visualization, statistics, project management, database systems, and artificial intelligence technologies.
• Structure:
• Consists of 10 modules covering various aspects of data science.
• Modules focus on providing hands-on experience with state-of-the-art software and methodologies.
• Designed for flexible online learning with self-paced study.
• Completion time frame is 14 months.
• Course Schedule: The program has six start dates per year, allowing for flexible enrolment.
• Individual Modules:
• Data Science:
Introduction to data science concepts, tools, and case studies.
• Data Mining and Informatics:
Processing and mining techniques with relevant tools and applications.
• Data Visualization:
Effectively communicating data insights through visualizations.
• Statistics for AI and Data Science:
Fundamentals of statistics for data analysis.
• Database Systems and Security:
Managing and securing data for effective utilization.
• Concepts and Technologies of Artificial Intelligence:
Developing artificial intelligence systems using learning and optimization algorithms.
• Networks and the Internet:
Understanding network principles and protocols.
• Project Management:
Tools and techniques for successful project management.
• Virtualization and Cloud Computing:
Concepts and practices of virtual environments and cloud computing.
• Research Methods:
Research methodologies and their application in data science.
• Dissertation:
Independent research project on a chosen topic in data science.

Assessment:

• Assessment Methods:
• Assignments and coursework for individual modules.
• Dissertation project assessment focusing on originality, depth, and research contribution.
• Assessment Criteria: Evaluation based on understanding of key concepts, problem-solving skills, analytical skills, and effective communication.

Teaching:

• Teaching Methods:
• Online delivery format utilizing interactive and engaging methods.
• Participation in discussion forums, group tasks, and collaborative learning activities.
• Access to dedicated online learning platform and resources.
• Faculty: Experienced academics with expertise in data science and related fields.
• Unique Approach: Focuses on developing agile, flexible, and dynamic graduates by fostering collaboration and communication among students and faculty.

Careers:

• Career Paths: Graduates can pursue careers in various industries, including:
• Data Analysis
• Data Science
• Data Mining
• Informatics
• Artificial Intelligence
• Business Intelligence
• Research and Development
• Career Opportunities: Potential roles include:
• Data Scientist
• Data Analyst
• Data Engineer
• Machine Learning Engineer
• Business Intelligence Analyst
• Research Scientist
• Career Outcomes: Program graduates are well-equipped to secure positions in various sectors, including technology, finance, healthcare, and government.

Other:

• Program Benefits:
• Opportunity to earn a postgraduate degree while continuing employment.
• Accessible to learners worldwide due to its online format.
• University alumni discount available.
• Fees: Total tuition fees are £6,600 payable in installments per module.
• Entry Requirements: Undergraduate or postgraduate degree, or minimum two years of relevant work experience.
• Application Information: Applications are accepted year-round, with multiple start dates available.

Total fees: £6,600 Per 15-credit module fee: £550 If you are based in the UK, you may be eligible for a government postgraduate loan to cover the full costs of the course. You will need to self-fund your first module/s to enrol. University of Wolverhampton alumni discount: If you have successfully completed an undergraduate degree at the University of Wolverhampton, you are eligible for a 10% tuition fees reduction.