Artificial Intelligence with Data Analytics MSc
| Program start date | Application deadline |
| 2023-09-01 | 2023-07-09 |
| 2024-01-01 | - |
| 2024-09-01 | - |
Program Overview
This MSc program in Artificial Intelligence with Data Analytics equips students with expertise in AI, data analytics, and research methods. It offers a fixed module diet focusing on cutting-edge skills, programming experience, and industry experience. Graduates are prepared for leadership roles in the computer science industry, with career opportunities in AI, data analytics, machine learning, and more.
Program Outline
Extracted Information from "Artificial Intelligence with Data Analytics MSc" Course Page:
Degree Overview:
Objectives:
- Develop expertise in artificial intelligence (AI) and data analytics.
- Build on existing skills to become team leaders and designers in the field.
- Transition from programmers to leaders and designers.
- Gain practical and cutting-edge skills for entry into the computer science industry.
Description:
- Strengthens and deepens skills in computer science.
- Focuses on AI, data analytics, statistical methods, and research methods.
- Covers new trends in the software industry for supply chain analysis, pharmaceutical manufacture, and more.
- Offers authentic and engaging learning experiences and assessments.
- Suited for overseas students seeking practical skills for entry into their local computer science industry.
- Fixed module diet provides leading-edge skills, programming experience, research expertise, and industry experience.
Outline:
Program Content:
- In-depth study of AI and data analytics applications.
- Individual in-depth study in an aspect of the course, typically from commercial, industrial, or research-based problem areas.
- Core principles and practical skills to apply state-of-the-art computational methods for data analytics.
- Fundamentals of tackling increasingly difficult decisions in technology, health, and business.
- Subfield of computer science concerned with computational techniques rather than performing explicit programmed instructions.
- Knowledge and skills to understand the research process in the field of computing.
- Necessary knowledge and practical understanding of the main statistical techniques.
Structure:
- Full-time and part-time options available.
- Fixed module diet with a focus on AI, data analytics, and research methods.
- Option for a two-year course with an advanced practice internship.
Individual Modules:
Module Descriptions:
Artificial Intelligence Ethics and Applications:
Explore the business applications of AI and data science (DS) and analyze the risks and opportunities of applying AI and DS techniques in various areas.
Computing Masters Project:
Conduct an in-depth individual study in an aspect of the course, typically from commercial, industrial, or research-based problem areas.
Data Analytics:
Gain core principles and practical skills to apply state-of-the-art computational methods for data analytics.
Intelligent Decision Support Systems:
Focus on the fundamentals of tackling increasingly difficult decisions in technology, health, and business.
Machine Learning:
Explore machine learning techniques and build models from tasks based on observations to make predictions about unseen data.
Research Methods:
Develop the knowledge and skills to understand the research process in the field of computing and gain the necessary skills to undertake your masters project.
Statistical Methods for Data Analytics:
Develop necessary knowledge and practical understanding of the main statistical techniques.
Advanced Practice (2 year full-time MSc only):
Internship:
Options include vocational internships in industry or research internships within the University.
Assessment:
- Uses formative and summative assessments throughout the program.
- Includes assignments, tests, case studies, presentations, research proposals, literature reviews, and dissertation production.
- Assesses subject-specific knowledge, cognitive and intellectual skills, and transferable skills.
Teaching:
- Uses keynote lectures and tutorials with case studies and examples.
- Includes presentations from guest speakers from industry.
- Encourages critical reflection and developing one's own reflective practice.
Careers:
- Graduates can pursue careers in various fields, including AI, data analytics, machine learning, research, and more.
- The program prepares students for leadership roles in the computer science industry.
- Graduates gain skills and knowledge relevant to a wide range of industries and sectors.
Other:
- The program is offered full-time and part-time.
- The full-time program can be completed within 1 year (September start), 16 months (January start), or 2 years with advanced practice (September or January start).
- The part-time program can be completed in up to 3 years (can be completed in 2 years if preferred).
- Start dates are in September or January.
- The program is offered at Teesside University.
- The program website provides more information about fees, admission requirements, and the application process.
Tuition Fees and Payment Information:
Full-time
2024/25 entry Fee for UK applicants £7,365 a year £4,770 a year with advanced practice Fee for international applicants £17,000 a year £10,000 a year with advanced practice
Part-time
2024/25 entry Fee for UK applicants £820 for each 20 credits
Teesside University
Overview:
Teesside University is a public university located in Middlesbrough, Tees Valley, England. It is known for its strong focus on student experience, research, and business partnerships. The university has invested heavily in its campus, offering modern facilities and a vibrant learning environment.
Services Offered:
Teesside University provides a wide range of services to its students, including:
Undergraduate and postgraduate study:
Offering a diverse selection of programs across various disciplines.Short courses and CPD:
Providing opportunities for professional development and upskilling.Online learning:
Delivering flexible and accessible learning options.International student support:
Providing dedicated services for international students.Career services:
Offering guidance and support for career planning and job searching.Student support services:
Providing academic, personal, and financial support to students.Library and IT facilities:
Offering access to extensive resources and technology.Accommodation services:
Providing on-campus and off-campus accommodation options.Sports and recreational facilities:
Offering a variety of sports and leisure activities.Student Life and Campus Experience:
Teesside University prides itself on its close-knit and supportive community. Students can expect a vibrant campus life with:
Social events and activities:
Offering opportunities to connect with fellow students and engage in extracurricular activities.Student societies and clubs:
Providing platforms for students to pursue their interests and develop their skills.Campus facilities:
Including a modern library, sports facilities, and a variety of dining options.A welcoming and inclusive environment:
Fostering a sense of belonging and diversity.Key Reasons to Study There:
Affordable excellence:
Offering a high-quality education at a competitive price.Gold rating in the Teaching Excellence Framework (TEF):
Recognized for its outstanding teaching and student experience.World-leading research:
Conducting impactful research across various fields.Strong industry partnerships:
Providing opportunities for students to gain practical experience and develop valuable connections.Vibrant and supportive community:
Offering a welcoming and inclusive environment for students to thrive.Academic Programs:
Teesside University offers a wide range of academic programs across six schools:
School of Arts & Creative Industries
School of Computing, Engineering & Digital Technologies
School of Health & Life Sciences
School of Social Sciences, Humanities & Law
Teesside University International Business School
University departments
Other:
Campus Masterplan:
Teesside University has invested £280 million in its campus to enhance the student experience and support the local community.Strong commitment to equality and diversity:
Recognized as a top employer for its commitment to inclusivity.Nationally recognized for its services to business:
Providing impactful partnerships with local and global organizations.Located in a vibrant and affordable region:
Offering a unique blend of urban and rural experiences.Entry Requirements:
EU Home Students:
- First degree in a related discipline (2.2 minimum) or relevant experience or equivalent qualifications. Acceptable subjects include:
- Artificial intelligence
- Computer forensics
- Computer science
- Computing
- Information technology
- Artificial intelligence
- Data science
- Computer forensics and digital forensics
International Overseas Students (Outside the EU):
- First degree in a related discipline (2.2 minimum) or relevant experience or equivalent qualifications. Acceptable subjects include:
- Artificial intelligence
- Computer forensics
- Computer science
- Computing
- Information technology
- Artificial intelligence
- Data science
- Computer forensics and digital forensics
- IELTS 6.0 or equivalent
Language Proficiency Requirements:
International Students:
- International applicants must demonstrate English language proficiency at IELTS 6.0 or equivalent.
Please note:
- Entry requirements may vary.
- For general information, please see the overview of entry requirements.
- International applicants can find out what qualifications they need by visiting the Your Country section.
