Data Analytics For Professionals syllabus : Latest Updated Syllabus for syllabus
Updated on May 18, 2022 11:12 IST
Atul HarshaSenior Manager Content
Introduction to Data Analytics Courses: After finishing Class 12, students can enrol in Data Analytics courses at the certificate, diploma, UG, and PG levels. Both online and offline versions of the certificate courses are available. These are short-term courses that provide an overview of a data analytics bachelor's degree with at least 50% in aggregate or equivalent, preferably in Science or Computer Science from a recognized university, which is the minimum eligibility criterion for a Data Analytics program.
Data Analytics diploma programs are accessible at both the undergraduate and graduate levels. Students can study BTech Data Science and Data Analytics at the undergraduate level to get a degree in Data Analytics.
Popular PG programs include MBA Data Science and Analytics, MSc Data Science and Analytics, and others. .
Table of Contents
- Syllabus – Important Facts for Data Analytics Course
- Data Analytics Courses in IITs and IIMs
- List of Core Subjects in Data Analytics
- Detailed Syllabus for Data Analytics
- Specialisations offered in Data Analytics
- Books and Authors Related to Data Analytics Course
- Entrance Exams for Data Analytics
- Distance Education in Data Analytics
- Syllabus for Distance Program in Data Analytics
- Top Colleges for Data Analytics
- Frequently Asked Questions
Syllabus – Important Facts for Data Analytics Course
- Data Analytics course: The conditions set out by each college for admission to this course are different based on the mode of study, and the type of study. A Candidate interested in Data Analytics must meet the requirements set out by the universities. The following are the most typical requirements for admission to Big Data Analytics colleges in India:
- Candidates must have completed Class 12 in Science or Commerce with Mathematics to be considered for undergraduate studies.
- For admission to postgraduate studies, students must have a bachelor's degree or equivalent in Engineering, Mathematics, Computer Science, Finance, or Economics.
- Bachelor in Data Science The Bachelor of Science in Data Science is a three-year full-time program. It involves subjects like Computer Science, Business Analytics, and Artificial Intelligence. Data Science is the study that entails the application of statistics, big data analytics, machine learning, and other related concepts to comprehend an issue or occurrence in relation to a set of factual data.
- Scope in India: Data analytics graduates are in demand in practically every industry. Data Analytics is an excellent job choice for students who want to make a huge shift in their professions and earn a lot of money. Candidates with a thorough understanding of the sector can also look into other career options.
- Masters in Data Analytics: It is the best program offered and taken by students all over India. Masters in Data Analytics is a six-trimester interdisciplinary postgraduate degree program in data analytics. This program is for working professionals and recent graduates interested in pursuing a career in the lucrative field of data analytics.
Data Analytics Courses in IITs and IIMs
Executive PG Program from IIT Bangalore: IIITB offers an Executive PGP in Data Science with a specialised area. IIT B provides five specialisations, as well as industry coaching, targeted career assistance, and the opportunity to master 14+ programming tools and languages. The duration is for a period of 12 months.
- General examination pattern: Candidates who want to study Data Analytics at an Indian institution must pass an admission exam. For the PG specialisation in Data Analytics, students can apply by taking several entrance exams like GATE, CAT, or JEE Main exams.
List of Core Subjects in Data Analytics
Data Analytics course consists of the following core subjects:
| Subject title |
Subject details |
|---|---|
| Machine Learning |
It is a branch of computer science that enables computers to learn without being explicitly programmed. The subject involves:
|
| Data Visualisations |
The subject helps in understanding the graphical depiction of information and data is known as data visualisation. The subject involves: Data visualisation tools to examine and comprehend trends, outliers, and patterns in data by employing visual components like charts, graphs, and maps.
|
| Python Programming, |
This course will be of great interest to anybody who wants to fully understand the fundamental components of computer programming using the Python programming language.
The subject involves:
|
| Operating Systems
|
The subject helps students to get familiar with the identification of operating systems. The students will learn about the major functionalities of operating systems, Resource management, Process management, storage, and memory. |
Typical Elective Subjects for Data Analytics
| Subject title |
Subject details |
|---|---|
| Business Intelligence |
Students learn about data mining, process analysis, and performance benchmarking. Subject Involves:
|
| Internet of Things |
This course covers the basics of the Internet of Things and teaches students how to program IoT boards. Students learn to program a variety of IoT development programs. |
Detailed Syllabus for Data Analytics
The disciplines taught as part of the Data Analytics program may differ between colleges. Students can review the table below for a list of some of the most popular subjects covered in the Data Analytics Course.
| Semester |
Core/Elective |
Subject Title |
Subject Details |
|---|---|---|---|
| 1 |
|
Principles of Data Analytics |
To lay a solid basis for data analytics and associated application areas, as well as to comprehend the underlying key principles and new technologies in the field. The subject involves
|
|
|
Statistical Methods using R |
This course involves how to use R to display and analyse data, as well as how to convey statistical results correctly. |
|
|
|
Python for Data Analytics |
The goal of this course is to offer a thorough understanding of the Python programming concepts needed for Data Analytics. |
|
| 2
|
|
Mathematical Foundation for Data Analytics |
The theory of Data Science relies heavily on linear algebra. The goal of this course is to introduce the fundamental concepts of vector spaces, linear algebra, and the usage of linear algebra in Data Science applications. |
|
|
Database Technologies |
The primary goal of this subject is to provide students with a foundational understanding of database principles as well as practical experience with them.
The subject involves
|
|
|
|
Data Mining |
The subject involves preprocessing and analysing data, selecting appropriate models and algorithms for specific applications, and fostering research interest in data mining advancements.
|
|
| 3 |
|
Artificial Intelligence |
This subject will; help gain a better understanding of the issues involved in defining and simulating perception, identify problems where AI is needed and the various methods available, compare and contrast different AI techniques, define and explain learning algorithms, and gain additional experience in the analysis and evaluation of complex systems. |
|
|
Regression Modelling |
Students will learn how to evaluate the relationship between variables in a data set and a continuous response variable in this course. Students will learn how to use the R software to fit basic and multiple linear regression models. |
|
|
|
Big Data Analytics |
The goal of the course is to provide students with an understanding of how Big Data is expanding in real-time applications and how it is manipulated utilising emerging technologies. The subject involves:
|
|
| 4 |
|
Machine Learning |
The subject involves dealing with various Modelling Processes. Understanding of Training Model, validating model, predicting New observations, supervised learning Algorithms. |
|
|
Natural Language Processing |
The subject involves: Application of NLP, Syntax processing, Semantic Analysis, Pragmatic and Discourse Processing: Analysis, Perception |
|
| 5 |
|
Data Visualization |
The subject helps in the understanding the graphical depiction of information and data is known as data visualisation. The subject involves: Data visualisation tools to examine and comprehend trends, outliers, and patterns in data by employing visual components like charts, graphs, and maps.
|
|
|
Neural Networks and Deep Learning |
The subject familiarises the students with the neural networks and deep learning as fundamental concepts. The subject involves
|
|
| 6 |
|
Project Work |
The project will teach you about deep learning's capabilities, problems, and repercussions, as well as equip you to contribute to the creation of cutting-edge technology. It paves the road for the students to get the information and abilities they will need to apply data analytics in their work, to advance their technical career, and take the first step into the data analytics world. |
Specialisations offered in Data Analytics
Masters in data analytics are usually taken once the students have completed their bachelor's in data science, or B-tech in Computer Science, or engineering. There are various specialisations in data analytics like a Mba, or MSc in Data Analytics.
| Specialisation |
Subjects |
Details |
|---|---|---|
| MTech in Data Science |
|
The MTech Data Science program is a two-year postgraduate program separated into four semesters. The course is structured to teach an academic and practical understanding of Data Science and analytics in depth. |
| MBA in Data Analytics |
|
MBA Data Analytics teaches students to turn datasets into actionable insights that aid in operational and strategic decision-making. An MBA in data analytics is a two-year postgraduate degree program that covers all of the important areas in data analytics. |
| Msc (Data Analytics)
|
|
It is a six-trimester interdisciplinary postgraduate degree program in data analytics.
|
Books and Authors Related to Data Analytics Course
Data analytics is a highly versatile, application-oriented field. Students follow a wide range of books during their graduation or post graduation. Listed below are some books that are highly referred to.
| Subject |
Book title |
Author |
Description |
|---|---|---|---|
| Python |
Python Data Science Handbook |
Jake VanderPlas |
This book includes an array for efficient storage and manipulation of dense data arrays in Python. It includes the DataFrame for efficient storage and manipulation of labelled & columnar data in
|
| Data Science |
The Art of Statistics Learning from Data |
David Spiegelhalter |
Without using mathematical equations, this book provides a solid introduction to statistics. The Art of Statistics illuminates how we may better comprehend the world by utilising the ever-increasing tsunami of data. The book involves approaches to research and reporting with a healthy amount of scepticism. |
| Machine Learning |
Introduction to Machine Learning with Python |
Andreas C Muller & Sarah Guido |
This book will show you practical techniques to develop your own machine learning solutions if you use Python, even if you are a newbie. This book will teach how to use Python to build a successful machine-learning application. |
Entrance Exams for Data Analytics
The following are the essential qualifying requirements for admission to Data Analytics:
- Bachelor's Programme: Applicants must have passed their Intermediate and Secondary schooling (10+2) or an equivalent science or commerce test (Math is preferred).
- Master Program: Admission to the MBA Data Analytics program is determined by entrance tests administered at the state and national levels.
A few of such entrance exams are discussed as:
- JEE MAINS & JEE Advanced (To pursue bachelors in data science)
- CUET (Conducted by Christ University)
- CAT
- MAT
- GATE
- JNUEE (Conducted by Jawaharlal Nehru University)
- NIMSEE (Conducted by NIMS University)
Distance Education in Data Analytics
An online distance program for Data Analytics is usually a full-time course. The duration of most of the distance courses (which are preferably in online form) is of 12-month duration. Most of the courses are recognized and accepted for employment in both the private and state sectors. Several universities, including IIM’s, IIT, and IGNOU, offer data analytics online courses via distance education.
IIT Madras distance learning Program: Intellipaat's Data Analytics course, is in partnership with IIT Madras. The course will teach you how to grasp Power BI, Data Wrangling, and Data Mining. The programs include real-world projects and case studies that provide opportunities to learn from IIT Madras teachers and industry specialists.
IIM Kozhikode distance program: Advanced Data Science for Managers from IIM Kozhikode teaches data management, exploratory data analysis, and machine learning methods. The program will assist professionals in improving their data science abilities and developing in-depth knowledge of machine learning algorithms and techniques backed by R and Python, as well as building a strategic and management understanding.
Syllabus for Distance Program in Data Analytics
Students who cannot afford full-time courses can get their degrees through distance education. Also, students who are unable to meet the eligibility requirements for full-time courses opt for part-time or distance data analytics programs. The syllabus of distance education programs is remarkably similar to the regular programs.
The top colleges for distance education are IIT Madras, IIM Bangalore, IIM Kozhikode, IIM Calcutta, GIM, etc.
Top Colleges for Data Analytics
Based on the curriculum and choices of electives offered, these are the top colleges for Data Analytics in India.
| SI. No. |
College/University/Institution |
Links |
|---|---|---|
| 1 |
IIT Bangalore |
To be uploaded soon |
| 2 |
IIM Kozhikode |
To be uploaded soon |
| 3 |
IIM Calcutta |
To be uploaded soon |
| 4 |
IIM Amritsar |
To be uploaded soon |
| 5 |
IIM Kashipur |
Download Here |
| 6 |
VIT Chennai |
To be uploaded soon |
| 7 |
Christ University |
To be uploaded soon |
| 8 |
Goa Institute of Management |
To be uploaded soon |
| 9 |
IIT Dhanbad |
To be uploaded soon |
| 10 |
Shaheed Sukhdev College of BUsiness studies |
To be uploaded soon |
Frequently Asked Questions
Q: What is the scope of Data Analytics?
A:
Data
A
nalytics graduates are in demand in practically every industry. Data Analytics is an excellent job choice for students who want to make a huge shift in their professions and earn a lot of money. Candidates with a thorough understanding of the sector can also look into other career options.
Q: What are the subjects in Data Analytics?
A:
Some of the subjects covered in the Data Analytics course are:
- Foundation of data analytics
- Data Mining
- Programming Languages like Python & R
- Natural Language Processing
- Machine Learning
- Data warehousing
- Big Data
- Internet of Things
- Artificial Intelligence
- Data modelling
Q: Is Data analytics a good course?
A:
Masters in Data Analytics are the best program offered and taken by students all over India. Masters in Data Analytics is a six-trimester interdisciplinary postgraduate degree program in data analytics. Data analytics is a good career option. As everyone is moving digital, data will be the most important career option.
Q: What is the salary of a Data Analyst?
A:
In India, the average income for a Data Analyst with an MBA degree can range from
INR
8 LPA and can go up to
INR
20 L.P.A. A bachelor's in Data analytics can earn up to
INR
4 L.P.A. This salary varies depending on your choice of
specialisation
. However, Data analysts have a bright future.
Q: Required skill set for Data analyst?
A:
To be successful at data analysis, you'll need strong analytical and numerical abilities, as well as a solid grasp of computer applications such as
- SQL
- Hive
- Pig
- Python
- Matlab
- R
- SAS
- SPSS
- Excel
Q: Are there any eligibility criteria for Data Analytics?
A:
Candidates must have a Class 12, with a 50% aggregate for a bachelor's degree. Students need to sit for various entrance exams for a master's degree like MBA, MSc, or MTech.
Q: What are the career options after pursuing Data Analytics?
A:
There are various career options like
- Data Engineer
- Data Analyst
- Business Intelligence Professional
- Big Data Analyst
- Data Scientist
Q: What are the required skill sets to become a good data analyst?
A:
The following skill sets are preferred:
- Communication Skills
- Problem-solving
- Programming Knowledge
- Interests in maths and numerics
- Statistical Knowledge
Q: What are the prerequisites for a Data analytics program?
A:
The conditions set out by each college for admission to this course are different based on the mode of study and the type of study. A Candidate interested in Data Analytics must meet the requirements set out by the universities. The following are the most typical requirements for admission to Data Analytics colleges in India: Candidates must have completed Class 12 in Science or Commerce with Mathematics to be considered for undergraduate studies. For admission to postgraduate studies, students must have a bachelor's degree or equivalent in Engineering, Mathematics, Computer Science, Finance, or Economics.
Q: What is the distance program for Data analytics?
A:
An online distance program for Data Analytics is usually a full-time course. The duration of most of the online courses is the 12-month duration. Most of the courses are recognized and accepted for employment in both the private and state sectors. Several universities, including IIM’s, IIT, and IGNOU, offer data analytics online courses via distance education.
Q: Which Institutes provide distance education in Data Analytics?
A:
Several universities, including IITS IIM, provide various Data analytics programs in data analytics. IIMs are known for offering online PGDM and distance courses in Data Analytics.
Q: Are there any entrance exams for Data Analytics?
A:
These are some of the entrance
exams
conducted by various universities:
- JEE MAINS & JEE Advanced ( To pursue bachelors in data science)
- CUET ( Conducted by Christ University)
- CAT ( MBA program in Data analytics)
- MAT
- GATE
- JNUEE( Conducted by Jawaharlal Nehru University)
- NIMSEE( Conducted by NIMS University)
Q: What is the eligibility criteria for a Data Analytics program?
A:
The following are the most typical requirements for admission to Data Analytics colleges in India:
A Candidate interested in Data Analytics must meet the requirements set out by the universities. Candidates must have completed Class 12 in Science or Commerce with Mathematics to be considered for undergraduate studies. For admission to postgraduate studies, students must have a bachelor's degree or equivalent in Engineering, Mathematics, Computer Science, Finance, or Economics, they are also required to write various entrance exams.
Q: What are the benefits of getting a Data analyst job?
A:
Data analysis is a lucrative field and has tremendous scope nowadays. The average salary for freshers is around Rs. 35,000 and above, from a reputed college. Many MNCs and top companies are already looking for and creating options and varied roles for a data analyst. Hence the benefits are tremendously provided you study at a good college with placement opportunities.
Popular Data Analytics For Professionals Colleges in India
Following are the most popular Data Analytics For Professionals Colleges in India. Learn more about these Data Analytics For Professionals colleges (Courses, Reviews, Answers & more) by downloading the Brochure.
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Popular Private Data Analytics For Professionals Colleges in India
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Most Popular Courses
Following are the most popular Data Analytics For Professionals courses, based on alumni reviews. Explore these reviews to choose the best course in Data Analytics For Professionals.
Popular Courses
- Introduction to Data Analysis Using ExcelCoursera
- Excel Basics for Data AnalysisCoursera
- Google Data Analytics Capstone: Complete a Case StudyCoursera
- Data Analysis and Visualization Foundations SpecializationCoursera
- Accounting Data Analytics SpecializationCoursera
- Google Cloud Big Data and Machine Learning FundamentalsCoursera
- Data Analysis Using PythonCoursera
- Big Data, Artificial Intelligence, and EthicsCoursera
- Big Data SpecializationCoursera
- Google Data Analytics Professional CertificateCoursera
Popular Data Analytics For Professionals UG Courses
Following are the most popular Data Analytics For Professionals UG Courses . You can explore the top Colleges offering these UG Courses by clicking the links below.
UG Courses
- B.Sc.
36 Colleges
- B.E. / B.Tech
31 Colleges
- BCA
24 Colleges
- BBA
18 Colleges
- B.A.
4 Colleges
Popular Data Analytics For Professionals PG Courses
Following are the most popular Data Analytics For Professionals PG Courses . You can explore the top Colleges offering these PG Courses by clicking the links below.
PG Courses
- M.Sc.
40 Colleges
- MBA/PGDM
38 Colleges
- M.E./M.Tech
22 Colleges
- PG Diploma
18 Colleges
- MCA
6 Colleges
Popular Exams
Following are the top exams for Data Analytics For Professionals. Students interested in pursuing a career on Data Analytics For Professionals, generally take these important exams.You can also download the exam guide to get more insights.
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Student Forum
Anything you would want to ask experts?Answered 20 hours ago
Data Analytics specialisation in MBA is rare in Kolkata. Instead, opt for offline courses from local institutes or online platforms like Coursera, edX, or Coding Ninjas for flexible, industry-recognized training.
K
Krishanu Rudra
Beginner-Level 1
Answered Yesterday
Mastering Microsoft Power BI is a game-changer in today's data-driven world. Whether you're an aspiring data analyst or a professional looking to enhance your skills, here's how to get started—and why Baroda Institute of Technology (BIT) is the perfect choice to guide your learning journey.
What is P
V
Viraj Anand
Beginner-Level 3
Answered Yesterday
Hi Swetha,
In the Board Exams (for Class 12th), the total marks for Data Science will depend on your respective board (CBSE, ICSE, or State Boards). For CBSE, Data Science is typically offered as an optional subject with a total of 100 marks, divided as follows:
- Theory – 70 marks
- Practical – 30 marks
A
Ankit kumar
Contributor-Level 9
Answered 2 days ago
SASTRA University offers an M.Sc. in Data Science with the following details:
Eligibility Criteria:
Educational Qualification: A bachelor's degree in a relevant field from a recognised institution.
Subject Requirements: Completion of +2 (12th grade) with Mathematics and Physics as compulsory subjects
A
Ankit kumar
Contributor-Level 9
Answered 4 days ago
The application fee for the MSc Management with Data Analytics programme at BPP University is not mentioned anywhere on the website. There might be no cost associated with submitting an application for this program. For queries, students can reach out to the admission office.
M
Misha
Contributor-Level 10
Answered 4 days ago
No, prior work experience is not a prerequisite for enrollment in BPP University's MSc Management with Data Analytics program. The necessary requirement is-
- A minimum of a 2:2 Honours degree in a related subject (e.g. STEM – Science, Technology, Economics, Maths) from a UK or recognised international
M
Misha
Contributor-Level 10
Answered 4 days ago
The MSc Management with Data Analytics programme has been developed to help students gain a core understanding and competency of modern management theories. Here are the key resources and services provided:
- The programme is developed in collaboration with corporate clients and informed by market insi
M
Misha
Contributor-Level 10
Answered 4 days ago
The annual tuition for the MSc Management with Data Analytics programme at BPP University is £17,100 (INR 18,30,596). The tuition fee for MSc Management with Data Analytics and Professional Development Planning is £21,400 (INR 18,30,909). Students are also required to submit a deposit of £350 (INR 2
M
Misha
Contributor-Level 10
Answered 6 days ago
These are the top institute for best data Science afteri compleation of bca
IIT Bombay
IIT Madras
VIT
MAHE
upGrad
K
Khushi Gupta
Contributor-Level 10
Answered a week ago
Great choice! Mumbai has numerous great courses in data analytics. Some of the best ones include:
NMIMS: Bachelor of Data Science.
Saraswati College of Engineering: Bachelor of Data Science.
Amity University: PG Diploma in Data Science.
K. J. Somaiya College of Engineering: PG Diploma in Data Science.
St
K
Khushi Gupta
Contributor-Level 10
Answered 3 weeks ago
The 360DigiTMG Professional Course in Data Analytics covers essential skills and tools for data processing and visualization. Participants learn to use Excel, SQL/NoSQL, Tableau, and PowerBI, focusing on data preparation, cleansing, and exploratory data analysis. The curriculum includes advanced con
C
Chanchal Aggarwal
Contributor-Level 10
Answered 3 weeks ago
The PGDM in Data Analytics at IILM University is a two-year full-time master's level program. Here are some key details:
Program Overview
Duration: 2 years
Eligibility: Graduation and appearing in any of the management competitive exams like CAT, MAT, XAT, GMAT, CMAT, ATMA, NMAT, etc.
Specialization:
A
ABHINAV SRIVASTAVA
Contributor-Level 8
Answered 3 weeks ago
Please refer below for the top BSc Data Science colleges in India and top MSc Data Science colleges in India that offer the highest Return on Investment to their students in the form of placement packages:
College Name | Tuition Fee | Annual Median Package |
|---|---|---|
INR 9.6 lakh | INR 15.5 LPA | |
INR 7.5 lakh | INR 15 LPA | |
INR 19.4 lakh | INR 14.6 LPA | |
INR 1.05 Lacs – INR 1.65 lakh | INR 6 LPA – INR 12 LPA | |
INR 3.46 lakh | INR 11.75 LPA |
Disclaimer: This information is sourced from official website/ media reports/ NIRF website and
A
Aneena Abraham
Contributor-Level 10
Answered 3 weeks ago
Hi, Data Analysts have an average salary range of INR 1.8 Lacs to INR 13 lakh.
| Years of Experience | Avg Annual Salary |
|---|---|
| Fresher | 1.8 LPA - INR 12.8 LPA |
| 1 year | INR 1.8 LPA - INR 13 LPA |
| 2 years | INR 1.8 LPA - INR 13 LPA |
Hope this solved your query!
A
Aneena Abraham
Contributor-Level 10
Answered 3 weeks ago
Yes, Data Analytics can be a good career in India. Data Analytics is in high demand right now accross many sectors like manufacturing, banking, finance, e-commerce, etc. Data Analytics offer extensive opportunities in various fields with salary ranging from INR 2 Lacs - INR 20 lakh. And as India, is
A
Aneena Abraham
Contributor-Level 10
Answered 3 weeks ago
Hi, listed below are the top course levels offered by best Data Analytics colleges in India:
| Course Level | No. of Colleges |
|---|---|
| Certificate | 170+ |
| MSc | 40+ |
| MBA/PGDM | 30+ |
| BSc | 30+ |
| B.E./BTech | 30+ |
| BCA | 20+ |
| M.E./MTech | 20+ |
Hope this answered your question!
A
Aneena Abraham
Contributor-Level 10
Answered 3 weeks ago
Hi, it can be observed that on average equal number of colleges offer different fee category for students as you can refer below.
| Total Fee | No. of Colleges | Popular Colleges |
|---|---|---|
| Free | 10+ | Coursera, Great Learning, Accenture, etc. |
| < INR 1 lakh | 90+ | JECRC University, Coursera, Great Learning, etc. |
| INR 1-2 lakh | 40+ | Galgotias University, IUL, NIT Trichy, etc. |
| INR 2-3 lakh | 40+ | Women's Christian College, Galgotias University, Rathinam College of Arts and Science, etc. |
| INR 3-5 lakh | 40+ | MIT-WPU, Presidency College, T. John Group of Institutions, etc. |
| > INR 5 lakh | 50+ | Amity University, Jain Deemed-to-be University, Galgotias University, etc. |
Hope this helps you!
A
Aneena Abraham
Contributor-Level 10
Answered 3 weeks ago
Hi, please refer below for the top Data Analytics colleges in India according to students' preferences, popularity, etc.:
| College Name | Tuition Fee | Eligibility / Exams |
|---|---|---|
| MIT-WPU | INR 4.1 Lacs - INR 4.8 lakh | GATE, PERA CET |
| Presidency College | INR 3 lakh | Merit-Based |
| Amity University Noida | INR 13.44 lakh | MAT, XAT, NMAT, CMAT, etc. |
| Jain Deemed to be University | INR 5.85 lakh | JET |
| Women's Christian College | INR 2.53 lakh | Merit-Based |
Hope this helps!
A
Aneena Abraham
Contributor-Level 10
Answered 3 weeks ago
There are around 370+ best Big Data Analytics colleges in India of which 180+ colleges are owned privately, 40+ colleges are owned by the government and 3 colleges are owned by semi government institutions. CAT, CUET, XAT, MAT and GATE are the top entrance exams for admission to best big Data colle
A
Aneena Abraham
Contributor-Level 10
Answered a month ago
To pursue a PGDM in Big Data Analytics at Adani Institute of Digital Technology Management, you need a bachelor's degree with 50% marks and valid scores from entrance exams like CAT, XAT, GMAT, or MAT. The application process involves submitting an online form with academic details and exam scores.
A
Abhignan bollam
Contributor-Level 10
Answered a month ago
Many colleges provide the choice of BSc in Economics with majors in Analytics or Data Science. Some of them include the University of Warwick in the UK where the focus is put in data analytic within their economics Course. In the same way, the University of Manchester offers the programs where econo
D
Deity of Games
Contributor-Level 10
Answered a month ago
Adani Institute of Digital Technology Management (AIDTM) also offers an Executive Program in Business Analytics (EPBA). This one-year programme is delivered by industry and academic experts and is designed to minimize disruption to working professionals.
The PGDM in Big Data Analytics programme at A
Surbhi Sahu
Guide-Level 13
Answered a month ago
The aptitude assessment is a two-part procedure which is basically assessing your application (your grades, Bachelor's curriculum, letter of motivation, scientific essay, cv) and giving your application a score out of 100.
TU Munich Aptitude Assessment Score Breakdown:
Academic Qualifications:55 poin
M
Misha
Contributor-Level 10
Answered a month ago
NIT Andhrapradesh offers eight specialisations in M.Tech courses. In addition, the institute offers around 90 seats for all its M.Tech courses, and 15 seats are offered in M.Tech in Computer Science and Data Analytics. For NIT Andhra Pradesh M.Tech admissions, candidates are required to qualify for
V
Vishakha
Contributor-Level 10
Answered a month ago
Clarkson University and California State University East Bay are two popular universities in the USA for international students. They both rank among the top universities in the USA and offers quality education at affordable cost. The below table includes the comparision between them in terms of the
Chandra Shekhar
Contributor-Level 10
Answered a month ago
Clarkson MS in Data Analytics ranks among the best in the world by Fortune 2022. A master's in Data Analytics qualifies graduates for jobs like Clinical analyst, Data analyst, Database administrator, Data Engineer, etc. The median pay for the field at Clarkson was more than USD 100K (INR 84.39 L) a
Chandra Shekhar
Contributor-Level 10
Answered a month ago
To get into the B.Tech. Computer Science and Medical Engineering (Artificial Intelligence and Data Analytics) programme at Sri Ramachandra Faculty of Engineering and Technology, you must meet the following requirements:
Pass the final exam of any board (CBSE, HSC, ICSE, and ISC) or equivalent with a
Abhishek singh
Contributor-Level 9
Answered 2 months ago
Absolutely yes, SASTRA Chennai Campus is good for M.Sc in Artificial Intelligence and Data Sciences .
This institute have a good record of quality education. Faculty members are well qualified and experienced & most of them are Ph.D scholars so they have good knowledge of their subjects.Infrastructu
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Priyanka Yadav
Beginner-Level 5
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In Which college I should take admission in kolkata for MBA in Data analytics