Part of the edX MicroMasters series, the Big Data program is designed to provide learners with high-quality, graduate-level coursework in a specific field of study, while also serving as a pathway to obtaining a full master’s degree.
The Big Data MicroMasters Program offered by AdelaideX includes 5 graduate-level courses. The expected time commitment is 1 year with an average of 7 – 9 hours each week. A detailed course listing is found further down the page.
The AdelaideX Big Data MicroMasters program is tailored to equip students with a comprehensive understanding of data analysis and machine learning techniques. These skills can be applied to a broad range of career paths across multiple industries. To give you an idea of the possibilities, here are a few examples of jobs where the skills acquired through the Big Data MicroMasters program could be especially beneficial:
- Data analyst
A data analyst is responsible for collecting, processing, and analyzing large sets of data to identify patterns and insights that can inform business decisions. The skills learned in the Big Data MicroMasters program, such as data visualization, statistical analysis, and machine learning, can be particularly useful for individuals pursuing a career in data analysis. - Data scientist
A data scientist is responsible for designing and implementing complex algorithms and machine learning models to solve business problems and extract insights from large sets of data. The skills learned in the Big Data MicroMasters program, such as predictive modeling, deep learning, and natural language processing, can be particularly useful for individuals pursuing a career in data science. - Business intelligence analyst
A business intelligence analyst is responsible for analyzing data and providing insights to inform business decisions. The skills learned in the Big Data MicroMasters program, such as data visualization, statistical analysis, and machine learning, can be particularly useful for individuals pursuing a career in business intelligence. - Machine learning engineer
A machine learning engineer is responsible for designing and implementing machine learning systems and models. The skills learned in the Big Data MicroMasters program, such as deep learning, reinforcement learning, and natural language processing, can be particularly useful for individuals pursuing a career in machine learning engineering.
Courses included in the Big Data MicroMasters Program:
- Programming for Data Science
- Computational Thinking and Big Data
- Big Data Fundamentals
- Big Data Analytics
- Big Data Capstone Project
Overall, the AdelaideX Big Data MicroMasters program can be helpful for individuals pursuing a wide range of careers in various industries where data analysis and machine learning techniques are in demand.
