Top 10 MSc (Master of Science) Colleges In Data Science and Analytics India
- Here is the best 10 colleges for MSc programs in data science and data analytics that includes fees, about colleges, mode of education…
Here is the best 10 colleges for MSc programs in data science and data analytics that includes fees, about colleges, mode of education……
Top 10 Colleges for M.Sc in Data Science & Data Analytics
M.Sc in Data Science & Data Analytics is a postgraduate level program with a duration of 2 years. The course is a highly technical one and hence offers great career opportunities for the future. Some of the top job roles that you can get after an M.Sc in Data Science include Data Analyst, Data Engineer, Data Scientist, Data Architect, Machine Learning Expert, and many more related jobs. These job roles are some of the highest-paid ones in the IT industry. So, if you are looking to build a career in Data Science, then an M.Sc in Data Science could be a great option for you. However, it is very important to find the right college with the right facilities that give you great career opportunities rather than just options. The following table lists the top 10 colleges that offer the M.Sc in Data Science course. This list includes both online and offline colleges in India and abroad for you to choose from based on your circumstances and priorities. Top 10 Colleges for M.Sc in Data Science and Data Analytics S.No College Name Mode of Education Total Fee 1 Manipal University, Jaipur Online ₹2,60,000/- 2 Chandigarh University, Chandigarh Online ₹1,20,000/- 3 The University of Arizona, USA Online ₹8,85,000/- 4 Liverpool John Moores University Online ₹4,99,000/- 5 Northwestern School of Professional Studies Online ₹10,33,266/- 6 Amity University, Noida Offline ₹ 61,000/-(1st year) 7 VIT, Vellore Offline ₹ 1,62,000/- 8 Sastra University, Thanjavur Offline ₹ 84,750/- 9 Christ University, Bangalore Offline ₹ 1,70,000/- 10 GITAM, Visakhapatnam Offline ₹ 2,50,000/-
1. Online Manipal University
The Online Manipal University is one of the top online universities in India. The university is UGC entitled and has also received the A+ grade from NAAC. The university has its own Learning Management System which is robust and hence ensures an efficient learning experience. – Mode of education Online mode through Learning Management System (LMS) – Course Fee Category Fees in INR Semester-wise 65,000/- per semester Total Fee 2,60,000/- – Eligibility For admission in the M.Sc in Data Science course in the Online Manipal University, you must fulfil the following conditions: You must have a 10+2+3 degree in Mathematics/Statistics/Computer Science/Technology/Engineering. If you have graduated in any subject other than these, then you must have at least 2 years of learning Statistics/Mathematics. You must have completed your bachelor’s from a recognised higher education institution whose degree is equivalent to the ones recognised by Association of Indian Universities (AIU). Though not mandatory, candidates with work experience are desired. For international students, their bachelor’s degrees must be recognised and approved by the AIU. They must get a certificate of equivalence from AIU to be eligible to apply. – Selection Procedure There is no particular selection procedure as such. If you fulfil the eligibility criteria mentioned above, then you can get admission as long as there are seats available. – Why Online Manipal University for M.Sc in Data Science? Following are the reasons why you must choose the online M.Sc in data science program from Online Manipal University: The program offers interdisciplinary expertise so that students can strengthen their foundational knowledge of the subject. The university provides strong academic support through regular interactions between students and faculty. All the study material and recorded lectures are available for students on the LMS at all times which helps in self-paced learning of the students. The curriculum is highly industry-oriented. The faculty includes professionals with decades of hands-on industry experience. The university offers easy financing options as well as attractive scholarships. – Curriculum Following is the semester-wise syllabus of online M.Sc in Data Science at Online Manipal University: Syllabus for M.Sc in Data Science and Analytics Semester 1 Semester 2 Computational Mathematics Categorical Data Analysis and Generalised Linear Models Database Management Design and Analysis of Experiments Programming with R and Python Distributed Algorithms and Optimisation with Hadoop and Spark Probability and Probability Distribution Linear Regression Models Statistical Inference Stochastic Processes Mini Project Semester 3 Semester 4 Bayesian Statistical Modelling Applied Data Analytics Deep Learning and Text Mining Programming in SAS for Analytics Machine Learning Methods Research Methodology Longitudinal Data Analysis Capstone Project Elective 1 (Any One) 1) Health Technology Assessment 2) Image Processing and analytics Elective 2 (Any One) 1) Nonparametric and Nonlinear Regression Models 2) Time Series Analysis Tools Covered Hadoop Colab Matplotlib NumPy Python R SPSS SQL Apache Hive KNIME OpenCV Pandas SAS Spark TensorFlow WEKA
2. Chandigarh University Online
The Chandigarh University Online Learning has been approved by UGC-DEB and it is ranked among the top 5% NAAC A+ universities in India. The university is doing great in the field of online education and has a wide range of UG and PG courses to offer. – Mode of Education Online mode through Learning Management System (LMS) – Course Fee Category Fee in INR Semester-wise Fee 30,000/- per semester Year-wise Fee 60,000/- per year Total Fee 1,20,000/- – Eligibility For admission in the M.Sc in Data Science course in the Chandigarh University, you must fulfill the following conditions. You must have completed your bachelor’s degree in BE/B.Tech/B.Sc (Mathematics or Statistics or Computer Science)/BCA/BA. OR You must have an equivalent UG degree with Computer Science or Mathematics or Statistics as one of the subjects from an approved board/university. – Selection Procedure There is no particular selection procedure as such. If you fulfil the eligibility criteria mentioned above, then you can get admission as long as there are seats available. – Why Chandigarh University Online for M.Sc in Data Science? Following are the reasons why you must choose the online M.Sc in data science program from Chandigarh University Online: The course is highly affordable and there are EMI options as well. The program has built-in internship/job opportunities as they get access to 300+ hiring partners through the job portal. The faculty includes practising data scientists from top IT companies with hands-on industry experience. The curriculum is trendy and has been designed keeping in mind the changing dynamics of the industry. You get exposure to real-world applications of the subject through case studies and projects. – Curriculum Following is the semester-wise syllabus of the online M.Sc in data science course at Chandigarh University Online. Syllabus for M.Sc in Data Science Semester 1 Semester 2 Advanced Database Management Systems Advanced Machine Learning Applied Probability and Statistics Calculus and Linear Algebra for Data Scientists Communication and Soft Skills Data Analysis and Visualisation Python Programming Deep Learning SQL Programming Machine Learning Semester 3 Semester 4 Cloud Native Development Applied Business Analytics Data Structures and Algorithms Data Mining and Warehousing Java Programming Data Engineering Optimisation Natural Language Processing Web Technologies Major Project Minor Project (Software Dev)
3. University of Arizona, USA
The University of Arizona is a research university situated in Tucson, Arizona. It is a prestigious university in the US that is now offering its Master of Science degree in Data Science through the ed-tech platform UpGrad. It is one of the top 100 global universities, so it is a great chance for Indian students to grab a master’s degree from a foreign university while staying in India. – Mode of Education Fully Online for 24 months with live as well as recorded video lectures. – Course Fee The total fee of the program is ₹8,85,000/- including GST. The students have the facility of No Cost EMI starting at ₹20,527/- per month. – Eligibility Following are all the eligibility criteria that you must fulfill: You must have a bachelor’s degree with at least 50% marks from an accredited university that is recognised by the University of Arizona. (The medium of instruction must be in English) The degree must be either 4 years UG or 3 years UG + PG or 3 years UG + PGDM or 3 years UG with at least 120 credit points and earned in 1st Division. The university must be accredited by NAAC with at least an ‘A’ grade. You must have either Mathematics or Computer Science as core subjects in UG. – Selection Procedure Since it is a foreign university, there is a certain selection procedure that you must go through to get admission. You must pass any one of these English proficiency tests- TOEFL, IELTS, CEPT Full Academic, and Pearson PTE Academic. You will also have to give an online entrance exam of 45 minutes that will check your mathematical, aptitude, and programming skills. You will finally have to submit a Statement of Purpose (SOP) of around 500 words at the end of the aptitude test which will be reviewed by UpGrad and the University. If you qualify all of the above tests, you will receive an offer letter confirming your admission. – Why University of Arizona via UpGrad? It is one of the 100 best global universities There are No Cost EMI options There are lot of activities for exposure like personalised industry sessions, career bootcamp, exclusive job opportunities portal, masterclasses by Industry Experts, and many more. You will get the status of the alumni of the University of Arizona. – Curriculum The curriculum includes 9 courses and 2 capstone projects. The detailed syllabus is as follows. Pre Course Requisites (3 Weeks) Basics of Python Programming Basics of R Programming Fundamentals of Calculus and Probability Tools Covered: Python and R Programming Course 1 – Data Analysis and Visualisation (10 Weeks) Database Design and Introduction to MySQL Data Structures and Algorithms Essential Data Science Tools: Github and Jekyll Functional Programming in Python Tableau Tools Covered: Python, MySQL, Tableau, Github, and Jekyll Course 2 – Data Mining and Discovery (10 Weeks) Advance Visualisation Exploratory Data Analysis Hypothesis Testing with R Libraries for Data Science: Numpy, Pandas Inference from Data with R Tools Covered: R Programming, Numpy, Pandas, Matplotlib, Seaborn, and ggplot Course 3- Introduction to Machine Learning (11 Week) Bagging, Boosting, and Regularisation Building Linear Regression Models from Scratch Clustering Decision Trees Logistic Regression Linear Regression practical applications Model Selection and Feature Engineering PCA Random Forest Tools Covered: Python, matplotlib, and sklearn Course 4 – Data Base Development and Management (9 weeks) Introduction to NoSQL Advance SQL Tools Covered: MySQL, MongoDB, and NoSQL Course 5 – Data Warehousing and Analytics in the Cloud (10 Weeks) Elastics Provision Services of Cloud and Setting up Cloud Introduction to Cloud Introduction to HDFS Introduction to Spark Hive Querying SparkML Handling Big Data with Spark Tools Covered: AWS, Apache Spark, Hive, SparkML, Pyspark, and Spark Streaming Course 6 – Neural Networks (10 Weeks) CNN RNN Introduction to Neural Networks Computer Vision Tools covered: OpenCV, Python, TensorFlow, SSD, YOLO, and MaskRCNN Course 7 – Applied Natural Language Processing (10 Weeks) Advanced Language Models: BERT, GPT Introduction to Attention Mechanism Lexical Processing Semantic Processing Syntactic Processing Tools Covered: NLTK, Python, Spacy, GPT, BERT, and TensorFlow Course 8 – Managing the Digital Information Environment (10 Weeks) Building Data Architecture Data Storytelling Introduction to Data and Model Lifecycle Introduction to MLOps Framework to DS/ML solution building strategy Structured Problem Solving Tools Covered: REST API, TensorFlow, Python, Flash, Docker, Kubeflow, and Kubernetes Course 9 – Ethical Issues in Information (9 Weeks) Ethics in Data Ethical Foundations Ethics in Modelling Capstone Project 1 (5 Weeks) Best Practices for Effective Communication Capstone Project – 1 Capstone Project 2 (5 Weeks) Capstone Project – 2
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