Atlantic Technological University

Overview

The Master of Science in Computing in Big Data Analytics at Atlantic Technological University equips students with advanced competencies to manage and analyze large-scale data. This program focuses on transforming raw data into actionable insights using analytics, machine learning, and data engineering techniques.

Targeted at graduates aspiring to create data-driven solutions across various sectors, including finance, retail, healthcare, logistics, and technology, the curriculum offers a blend of in-depth technical knowledge and practical, industry-focused learning.

• Degree: Master of Science (MSc)
• Programme title: Computing in Big Data Analytics
• Duration: 1 year full-time or 2 years part-time
• Credits: (Please confirm with the programme team)
• Delivery: (Please confirm with the programme team)
• Language of instruction: English
• Tuition fees: (Please confirm with the programme team)
• Intake / start dates: (Please confirm with the programme team)

What you'll study

Core modules typically include:

• Big Data Analytics
• Business Intelligence
• Machine Learning
• Big Data Architecture
• Data Science
• Mathematics for Analytics

Learning approach: The program is structured to develop skills progressively, covering foundational analytics principles, advanced data science methodologies, and concepts of machine learning and scalable big data architecture.

Capstone / final assessment: (Please confirm whether the program includes a dissertation, project, or equivalent final assessment.)

Entry requirements

Applicants are generally expected to possess at least a Lower Second Class degree or an equivalent qualification. Additional academic criteria may apply, so it is advisable to check with the program team for specific details.

Career prospects

Graduates of the MSc in Computing in Big Data Analytics will be well-prepared for a variety of roles in the rapidly evolving data landscape. Potential career paths include data analyst, data scientist, business intelligence analyst, and machine learning engineer, with opportunities across diverse industries. The demand for professionals skilled in big data analytics continues to grow, providing graduates with substantial employment prospects.