| Program start date | Application deadline |
| 2024-09-24 | - |
| 2025-01-25 | - |
Program Overview
The MSc Big Data Technologies program equips students with expertise in Big Data tools, principles, and techniques. It focuses on developing industry-specific skills in data science, AI, machine learning, IoT, and cloud computing. Graduates are prepared for careers as data scientists, analysts, and engineers in various sectors, including engineering, finance, healthcare, and retail.
Program Outline
Degree Overview:
This MSc program equips students with the knowledge and skills needed to succeed in the rapidly growing field of Big Data. Key objectives include:
- Mastering Big Data Technologies - This involves gaining expertise in Big Data tools, principles, and techniques for data acquisition, analysis, and visualization.
- Developing Industry-Specific Skills - The program focuses on building competence in key areas such as data science, artificial intelligence, machine learning, the Internet of Things, and cloud computing.
- Contributing to the Common Good - Applying Big Data expertise to real-world problems and contributing to a more sustainable and equitable society.
Outline:
Trimester A:
- Big Data Landscape
- Software Development for Data Science
- Artificial Intelligence and Machine Learning
- Data Ethics and Research Methods
Trimester B:
- Cloud Computing and Web Services
- Internet of Things
- Big Data Platforms
- Data Visualization
Trimester C
- MSc Dissertation Project The trimester structure applies to full-time students. Part-time students have the same course content but take a different number of modules per year.
Assessment:
Assessment methods used in the program include:
- Class tests
- Coursework assignments
- Practical tests
- Technical reports
- MSc dissertation project The assessment focuses on practical implementation and evaluation, demonstrating the application of knowledge and skills.
Teaching:
The program uses a variety of teaching methods, including:
- Lectures
- Seminars
- Workshops
- Tutorials
- Project work Students benefit from the expertise of academic staff actively involved in cutting-edge Big Data research. The program emphasizes industry-oriented learning and practical skills development.
Careers:
Graduates are prepared for careers as:
- Data Scientist
- Data Analyst
- Systems Architect
- IT/Data Engineer Employment opportunities exist in various sectors, including:
- Engineering
- Pharmaceuticals
- Finance
- Healthcare
- Retail
- Security
- Smart Environments
Other:
The program is designed with industry input and features employer events and talks on campus. It utilizes industry-standard facilities, including those from leading companies like IBM, Microsoft, Google, Apache, AWS, Weka, Databricks, and MongoDB. This accreditation is recognized by many employers and professional bodies worldwide.
Annual full-time tuition fees 24/25 Home (Scottish) and RUK: £8,900 International: £18,800
Glasgow Caledonian University
Overview:
Glasgow Caledonian University (GCU) is a public university located in Glasgow, Scotland. It is known for its focus on applied learning and its commitment to the "Common Good," which emphasizes social responsibility and ethical leadership. GCU offers a wide range of undergraduate and postgraduate programs across various disciplines.
Services Offered:
The university provides a comprehensive range of services to its students, including:
Academic Support:
Library resources, study skills workshops, and academic advising.Student Support:
Counseling services, disability support, and career guidance.Campus Life:
Student clubs and societies, sports facilities, and social events.International Support:
Dedicated services for international students, including visa assistance and cultural integration programs.Funding and Finance:
Scholarships, bursaries, and student loans.Student Life and Campus Experience:
GCU offers a vibrant and diverse campus experience. Students can engage in a wide range of activities, including:
Joining student clubs and societies:
From sports teams to academic societies, there are numerous opportunities to pursue interests and make new friends.Participating in social events:
The university hosts various events throughout the year, including concerts, festivals, and cultural celebrations.Utilizing campus facilities:
GCU has modern facilities, including a library, sports center, and student union.Living in student accommodation:
The university offers a variety of on-campus and off-campus housing options.Key Reasons to Study There:
Applied Learning:
GCU emphasizes practical skills and real-world experience through work placements, internships, and industry collaborations.Commitment to the Common Good:
The university promotes social responsibility and ethical leadership, encouraging students to make a positive impact on society.Diverse and Inclusive Community:
GCU welcomes students from all backgrounds and provides a supportive and inclusive environment.Strong Industry Links:
The university has strong connections with businesses and organizations, providing students with valuable career opportunities.Modern Facilities:
GCU has invested in modern facilities, including a state-of-the-art library, sports center, and student union.Academic Programs:
GCU offers a wide range of academic programs, including:
Undergraduate Programs:
Bachelor's degrees in various disciplines, including business, health sciences, engineering, and social sciences.Postgraduate Programs:
Master's degrees, PhDs, and professional qualifications.Graduate Apprenticeships:
Work-based learning programs that combine on-the-job training with academic study.Other:
Entry Requirements:
For Home students (Scottish and RUK):
- A UK honours degree 2:2 (or equivalent) in Computing with software development or related field, such as:
- Computing
- Computer science
- Software engineering
- Web technologies
- Relevant work experience or qualifications may be considered through the GCU Recognition of Prior Learning (RPL) Policy.
For International students:
- A bachelor's degree in a relevant subject, with good grades earned from an accredited institution.
- English language proficiency:
- Academic IELTS score of 6.0 (or equivalent) with no band score below 5.5.
- Other accepted tests and levels:
- PTE Academic 56 (with no score below 51)
- CAE 169
- CPE 176
- TOEFL (iBT) 80 (with a minimum of 17 in writing)
- Duolingo English Test 100
Language Proficiency Requirements:
For UK/EU students:
- No English language requirement if:
- You hold a degree from a UK university.
- Your first language is English.
For international students:
- Achieve an English language score as follows:
- Academic IELTS 6.0 with no element less than 5.5
- PTE 56 (no less than 51 in any element)
- CAE 169
- CPE 176
- TOEFL (iBT) 80 (minimum 17 in Writing).
