
MSc Data Analytics & Technologies
Are you ready to join one of the most advanced postgraduate programs? The University of Greater Manchester's MSc Data Analytics & Technologies degree program, taught entirely at NEW YORK COLLEGE in Greece, is the ideal choice for those who want to develop or enhance their skills in Data Analysis and secure a long-term job in this new field of Business and Research.
With the Data Analytics and New Technologies postgraduate degree program, you will acquire skills in the fundamental principles of Data Analysis and learn to use the most advanced tools and techniques in the industry. Key topics covered include the analysis and interpretation of large volumes of data, prediction and discovery of patterns and trends from the processing and management of business data, machine learning, analysis of various types of data (text, image, social media, etc.), natural language processing, and more.
The master's degree is one of the most important programs in the field of Informatics and is offered in collaboration with one of the top universities in the UK, with tutors and researchers who are experts in the field of Data Analytics. Additionally, you will have the opportunity to collaborate with other students and professionals from different fields, networking and creating international collaborations that can help you further in your career.
After completing the program, you will have the opportunity to work in a wide range of industries, including healthcare, finance, technology, digital marketing, and business administration. Data analytics is one of the fastest-growing professional fields today, and career opportunities are limitless.
Λεπτομέρειες
Curriculum
Careers
Professors
Magazine
Success Story
Curriculum
- Professional Practice
- Research Methods
- Data Analysis and Visualization
- Big Data Analytics
- Data Mining and Machine Learning
- Project
Choose one of the following:
- Business Analytics
- Marketing Analytics
- Health Informatics
Language: English
Duration: The full-time programme is 12 months (plus 6 months for thesis writing) and the part-time course is 24 months (plus 6 months for thesis writing). The modules are offered mainly on Friday afternoons and Saturdays so as not to hinder the students' work schedule.
Entry requirements:
- An undergraduate Honors degree in Computing, Computer Science, Software Engineering, Business, Management, or any related subjects, usually with a first or upper second classification.
- IELTS 6.0 or equivalent
- An interview is required to consider applicants suitability.
Careers
As graduates of this specific program, you will have the opportunity to work in positions such as Data Analysts, Business Analysts, Data Scientists, Big Data Analysts, CRM Consultants, Researchers, and others.
Employment opportunities for Data Analysts are numerous and are constantly increasing, as Data Analytics becomes increasingly important for businesses and organizations in all fields. It is worth noting that during the week of 20-24/03/2023, there were 517 open job positions in Athens for Data Analysts and related fields on the job search engine of LinkedIn.
Specifically, some of the employment opportunities that a data analyst can seek are:
- IT companies and consultants
- Banks and financial organizations
- Healthcare services and pharmaceutical companies
- Technology and software development companies
- Retail companies and consumer products
- Educational organizations
- Research and Development
- Business Administration
- Digital Marketing
Professors
Meet Our Academic Team
The strength of our department lies in the expertise, dedication, and passion of our academic staff. Our tutors combine academic excellence with real-world experience to inspire, guide, and support our students throughout their learning journey.
Click here: Informatics team EN 2025
Magazine
Click here > Informatics
Success Story
Participation of New York College Students at the Student Conference of the Athens University of Economics and Business!
Students Justine Claire Desepeda and Stavros Nikolaou, under the academic supervision of Dr. Anastasios Liapakis, presented two pioneering research projects that impressed the audience with their topics, methodology, and research approach:
• Comparative Study: CLOUD APIs vs. ChatGPT for Sentiment Analysis
• Comparing the Performance of Deep Learning Optimizers
The presentations stood out for their technical excellence, innovative thinking, and mature academic approach, earning praise from professors, fellow students, and industry professionals alike. This participation is yet another shining example of the high-quality education and the emphasis on research and innovation fostered at New York College.
Click HERE to discover what the students shared with us!