Master of Science In Big Data Analytics
With a focus on learning by doing, the Master of Science in Big Data Analytics covers key principles and concepts of big data processing alongside major platforms and tools used for distributed storage, NoSQL models, resilient pipelining, model building through Machine Learning algorithms & Natural Language Processing.
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Use the following link to submit your application to the Global Learning Immersion Program today!
The team will review all submissions and connect with participants about next steps.
Important Timelines & Details
For those looking to become an expert in Big Data Analytics, a Master of Science degree can provide you with the necessary knowledge and skills.
This program covers topics ranging from introductory concepts such as environment and applications, to data engineering and visualization used for web and text mining.
Additionally, delve into advanced analysis methods like descriptive statistics or machine learning techniques so that you’re fully equipped with all the tools needed for your future career endeavors.
Additional Information
Through this professional project, students will have the opportunity to demonstrate their expertise by creating a Big Data pipeline that includes Machine Learning techniques.
This intensive three-month journey is supervised closely by faculty and industry/government professionals with both technical knowledge and practical experience.