Who Will Benefit 

This Data Scientist Master’s program is best suited for IT Professionals, analytics managers, business analysts, banking and finance professionals, marketing managers, supply chain network managers, beginners or recent graduates with bachelor’s or master’s degrees with an analytical frame of mind.

Key Learning Outcomes 

• Gain an in-depth understanding of data structure and data manipulation 
• Understand and use linear and non-linear regression models and classification techniques for data analysis 
• Perform scientific and technical computing using the SciPy package and its sub-packages such as Integrate, Optimize, Statistics, IO, and Weave 
• Gain expertise in mathematical computing using the NumPy and Scikit-Learn package
• Understand the different components of the Hadoop ecosystem 
• Learn to work with HBase, its architecture and data storage, learning the difference between HBase and RDBMS, and use Hive and Impala for partitioning 
• Understand MapReduce and its characteristics, plus learn how to ingest data using Sqoop and Flume 
• Master the concepts recommendation engine, and time series modeling and gain practical mastery over principles, algorithms, and applications of machine learning 
• Learn to analyze data using Tableau and become proficient in building interactive dashboards

Accreditations:  

NA

Certification Exam Eligibility

There is no certification exam available for this program however you may get certified in some of the courses which are part of this program. Please reach out to our admissions department at www.mtssedu.com/admissions for more information.