Master of Data Science

You are welcome to unlock the power of data with our Master of Data Science Program.

The Master of Data Science (MDatSc) is a comprehensive program designed to provide students with the knowledge, real-world experience, and practical training they need to become skilled data scientists in the rapidly growing disciplines of data science and machine learning. Our program provides a thorough understanding of big data technology, machine learning, and data analytics, preparing you to take on challenging problems in a range of industries, whether you want to change careers or take a different path.

Program Overview

The Master of Data Science (MDatSc) theoretical learning with real-world experience to provide a well-rounded learning experience. The curriculum offers a solid foundation in statistical analysis, programming, and data management while covering advanced topics like deep learning, artificial intelligence, and data ethics.

Curriculum
The curriculum is designed to be both flexible and comprehensive, allowing students to tailor their studies according to their interests and career goals. Core courses cover the essential aspects of data science, while elective courses allow for specialization in areas such as:

Core Courses:

– Data Science Concepts and Machine Learning
– Advanced Data Management
– Big Data and Data Mining
– Neural Networks and Fuzzy Logic
– Statistics and Mathematical Modeling
– Python for Machine Learning
– Professional Practice
– Project Management
– Research Methodology

Career Prospects
Graduates of the Master of Data Science (MDatSc) program are highly valued by employers in a wide range of industries, including technology, finance, healthcare, and government. Data scientists are becoming more and more necessary as companies rely on data-driven decision-making. Some of the potential careers are:

– Data Scientist
– Machine Learning Engineer
– Data Analyst
– Business Intelligence Analyst
– Data Engineer

Join our Master of Data Science (MDatSc) program and take the first step toward becoming a leader in the data-driven world. Applications are accepted on a rolling basis, with start dates available in both the fall and spring semesters.