M.Sc in Data Science | Manipal University Jaipur
By harnessing emerging technologies, university can reach
beyond campus walls to empower diverse learners at a global
scale. By harnessing emerging technologies, university can reach
beyond campus walls to empower diverse learners at a global
scale.
M.Sc in Data Science | Manipal University Jaipur
By harnessing emerging technologies, university can reach
beyond campus walls to empower diverse learners at a global
scale. By harnessing emerging technologies, university can reach
beyond campus walls to empower diverse learners at a global
scale.
Description
This Master of Science programme is designed for working professionals aspiring to progress in their careers. The programme will equip you with the technical skills you need to build a distinctive career in Data Science. With a perfect blend of machine learning, big data analytics, and statistics, the programme intends to prepare you for analytical and leadership roles in various sectors. Gain experience in machine learning application, predictive modelling, solve problems with real-world data, learn how to efficiently work in teams, develop strategic and tactical recommendations, and manage processes, work, and people.
Duration : 24 month
What you'll learn
- Sound technical knowledge
- Better job opportunities in analytical and leadership roles
- Enhanced problem-solving skills
- Increased earning potential
- Gateway to flourishing career in data science
Curriculum
Curriculum for this course
4 Lessons
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1) Computational Mathematics 2) Probability and Probability Distribution 3) Programming with R and Python 4) Statistical Inference 5) Database Management
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1) Linear Regression Models 2) Categorical Data Analysis and Generalized Linear Models 3) Distributed Algorithms and Optimization with Hadoop and Spark 4) Stochastic Processes 5) Design and Analysis of Experiments 6)**Mini Project
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1) Longitudinal Data Analysis 2) Machine Learning methods 3) Deep Learning and Text Mining 4) Bayesian Statistical Modelling 5) Elective 1 (Choose one): • Health Technology Assessment • Image processing and analytics 6) Elective 2 (Choose one): • Nonparam
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1) Programming in SAS for Analytics 2) Applied Data Analytics 3) Research Methodology 4) **Capstone Project
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