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Top 10 Full Time Data Science Courses In India- Ranking 2018

We recently conducted a survey on what do students look in a data science course, and we got some interesting results. The result suggested that from programme construct, brand value to cost, there are a lot of factors that students have in mind before picking the analytics and data science course.

Based on these findings and other key parameters, we have conducted our annual ranking for full time analytics and data science courses in India. For collecting required data from the institutes, we sent out a form with detailed questions to be filled out by the institutes. The key parameters were course content & comprehensiveness, faculty details such as those with PhD or industry experience, student experience such as post completion engagement. Other parameters included external collaboration, placement assistance and others.

The results are deduced after an extensive research and feedback from students & experts.  The eligibility criteria for the ranking were (1). Programme should be long-term and full-time (duration of more than 5 months), (2). The course should be provided by or in association with a University (Indian or Foreign university).

The form was sent to more than 19 analytics and data science schools, of which 14 responded within a stipulated time. Few of them were rejected because of incomplete data, lack of supporting documents or not fulfilling the eligibility criteria. Each of these parameters have been ranked on the scale of 0-5 where 0 is for worst and 5 for best. The institutes that could not be a part of the list either did not participate in the ranking process or could not make it to our list.

For top 10 analytics and data science executive course, click here.

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1. Post​ ​Graduate​ ​Diploma​ ​in​ ​Business Analytics​ (PGDBA) By IIM​ ​Calcutta,​ ​ISI​ ​Kolkata​ ​&​ ​IIT​ ​Kharagpur (Tri-Institute​ ​Course)

Founded: 2015

Mode of delivery: Classroom

Course duration: 24 months (18-Classroom & 6-Internship)

Number of hours: 1750

Cities of operation: Kolkata, Kharagpur

Course fees: ₹ 20 Lacs

PGDBA is a two years full-time residential program offered by ISI Kolkata, IIT Kharagpur and IIM Calcutta. It provides students a lifetime experience of multifaceted learning from not only one but three of the premier institutions of the country. It is the first management institute in India to be accredited by AACSB, AMBA and EQUIS. As a part of the programme, students are imparted training in the statistical, technological and business aspects of analytics.

Parameter 1: Course Content (Rating 4.9 )

Comprehensiveness: The coursework in the first semester at ISI Kolkata includes courses such as probability and stochastic processes, statistical inference, statistical structures in data, computing for data sciences and database management systems. The second semester at IIT Kharagpur includes algorithm design and machine learning, time series and regression. IIM Calcutta focuses on the business application with focus on business economics, financial reporting and analysis, categorical data analysis, business data mining and product management. Additionally, there is a pool of electives for the students to choose from in IIT Kharagpur and IIM Calcutta. It also has a capstone project of more than 3 months.

Student assessment: The students are assessed through both academics and industry exposure. In the academic context, apart from the conventional mid-term and end-term exams, students are required to submit group and individual projects in courses such as financial reporting and analysis, contemporary business analytics, inferential statistics, statistical structures in data, and others. Outside of the course work, students participate in hackathons and coding competitions organised by various corporates and reputed institutions. Students’ performance during the 6-month industry internship in the final semester is evaluated by both the organisation and the three institutes, providing a well-rounded assessment.

Learning resources: The learning resources include books, downloadable resources, LMS, question paper and classroom teaching.

Parameter 2: Faculty (Rating 4.9)

Total no. of faculties: 351

Total no. of faculty members with PhD: 339

Total no. of faculty members with industry experience: 53

Student to faculty ratio: 1.05

Parameter 3: Student Experience (Rating 4.9)

Percentage of students who completed the course: 100%

Post-completion engagement: The alumni engage with students and the management to better equip current students for the industry. Interaction with them through social media besides the frequent guest lectures contributes ​to​ ​industry-specific​ ​learning​. Inputs from the alumni are instrumental in deciding major policy changes and course restructuring.

Placement assistance: They provide full assistance to participants of the programme.

Parameter 4: Other Attributes (Rating 4.9)

Entry criteria for student: Entrance exam

External collaboration: In the orientation week, new students are greeted with talks by top analytics executives at companies like PwC, Aditya Birla Finance and ITC. Organisations such as Western Digital, EY, NPCI and more, also connect to students through workshops, competitions and lectures. It provides 6-month internship as part of the curriculum and is well received by the companies such as Amazon, DEShaw, Johnson & Johnson, Gartner, PwC US Advisory, Barclays, MasterCard, AB InBev.

The overall rating is 4.9.


2. Post Graduate Program in Data Science By Praxis Business School

Founded: 2007

Mode of delivery: Classroom

Course duration: 9 months

Number of hours: 500

Cities of operation: Bengaluru, Kolkata, Tirupati

Course fees: ₹ 5.4 Lacs

Praxis has been playing a pioneering role in creating industry-ready analytics professionals. Praxis was early to recognise the need for trained analytics resources and introduced the first one-year full-time analytics program in the country in 2011 offered in knowledge support from PwC and ICICI Bank. The program has grown in strength in terms of student number and quality, curriculum coverage, relevance and industry acceptance.

Parameter 1: Course Content (Rating 4.9)

Comprehensiveness: The course focuses on tools such as Python, R, SAS, SQL, Hadoop, Spark, MongoDB (NOSQL), Amazon AWS (EMR/ EC2), Tensorflow, QlikView and Tableau; modelling and analytical skills such as statistics, data mining, machine learning, deep learning; communication and visualization skills. It allows applying analytics to business situations in areas such as marketing, finance, retail and others. The capstone project ranges from 1-3 months, while the course is updated every 6 months.

Student assessment: Apart from examinations, a student’s performance is assessed on the basis of preparation of assignments, performances in projects, mid-term tests and surprise quizzes. The institute expects a minimum standard of academic performance (CQPI of 4.00 out of 8.00) for the award of the certificate. Failure to meet the minimum standards of performance would require a student to discontinue the program.

Learning resources: It provides books, downloadable resources, LMS, videos and question papers.

Parameter 2: Faculty (Rating 4.6)

Total no. of faculties: 27

Total no. of faculty members with PhD: 24

Total no. of faculty members with industry experience: 25

Student to faculty ratio: 3.8

Parameter 3: Student Experience (Rating 4.8)

Percentage of students who completed the course: 93%

Post-completion engagement: The students are selected via rigorous methodology to make them able to be placed in good companies and be fluent in new age technologies. The alumni help in providing placement assistance, mentoring, among others.

Placement assistance: They provide full assistance to students, and have been able to provide placements to more than 90 percent of students, batch-on-batch, so far.

Parameter 4: Other Attributes (Rating 4.8)

Entry criteria for student: Only candidates with minimum 60 percent in class X, XII & graduation are eligible. Further, selection is based on entrance exam followed by essay writing and personal interview.

External collaboration: There is a considerable participation of the industry in design and delivery of the analytics program at Praxis Business School. The program is co-created and co-delivered with Knowledge Support from PwC and ICICI Bank. 71% of their faculty members teaching analytics subjects are associated with Analytics organisations.

The overall rating is 4.77.


3. Post Graduate Diploma In Data Science By Manipal ProLearn

Founded: 2016

Mode of delivery: Classroom

Course duration: 11 months (9 months classroom training + 2 months project and Internship)

Number of hours: 800

Cities of operation: Bengaluru

Course fees: ₹ 6.3 Lacs + 18% GST

Manipal ProLearn is a part of Manipal Global Education Services (MaGE), a pioneer in higher education and allied services. The Academy of Data Science with its mission of building a community of industry-ready data scientists, runs the flagship program which is offered in 2 modes – full-time and part-time which aims at upskilling young working professionals in analytics and AI space to help them transform their careers.

Parameter 1: Course Content (Rating 4.8)

Comprehensiveness: The curriculum begins with foundation-level courses including R, Python, data scraping & wrangling, statistics, followed by core courses including machine learning, data visualisation and big data tools, and advanced courses covering AI, deep learning, neural networks and advanced big data. The course also includes hackathons, extra-curricular workshops and sessions on design thinking, soft skills and behavioural skills and others.

Student assessment: There are two main gradable components — internal assessment includes assignments, case studies and quizzes while external includes term and exams. The 2-month capstone project also carries credits. Minimum 75 percent of attendance in each subject is required for the student to be eligible for the term-end exams.

Learning resources: It has learning resources in form of books, downloadable resources, LMS, videos, question papers. The Institute has developed a significant sized repository of data sets and case-studies across subjects which are provided to the students for practicing application of the concepts taught.

Parameter 2: Faculty (Rating 4.4)

Total no. of faculties: 18

Total no. of faculty members with PhD: 5

Total no. of faculty members with industry experience: 12

Student to faculty ratio: 20:1

Parameter 3: Student Experience (Rating 4.7)

Percentage of students who completed the course: 98%

Post-completion engagement: They invite alumni for a talk to share their journey and experiences with newer batches.

Placement assistance: They provide assistance through alumni network and resume designing. They also invite organisation to the campus to screen students for roles in data science and analytics space.

Parameter 4: Other Attributes (Rating 4.8)

Entry criteria for student: Students should be graduate from a recognised institute or university with minimum 50 percent and have maths or programming as a subject in the qualifying degree.

External collaboration: Manipal ProLearn has a strong industry as well as academia connect. Industry collaboration includes those with Equifax, Gramener, whereas academic collaborations are with MAHE and Deakin University (Australia). The students, after successful completion of the PG Diploma in Data Science, are eligible to transition into the Masters of Data Analytics from Deakin. Thus, the student stands a chance to earn a PG Diploma from MAHE and a Masters Degree from Deakin within a span of 2 years.

The overall rating is  4.67.


4. Post Graduate Program In Data Science And Engineering (PGP-DSE) By Great Learning

Founded: 2013

Mode of delivery: Classroom

Course duration: 5 months

Number of hours: 400+

Cities of operation: Mumbai, Bengaluru, Delhi NCR, Chennai, Hyderabad, Pune

Course fees: ₹ 3 Lacs + GST

With a mission to make professionals succeed in the digital economy, Great Learning is offering programs in critical competencies such as analytics, data science, machine learning, AI, cloud computing and more. Their industry relevant programs are helping thousands of professionals who are working across marquee organisations in India and beyond.

Parameter 1: Course Content (Rating 4.7)

Comprehensiveness: The intensive and exhaustive course is designed for early career professionals to acquire relevant skills in data science, which blends right amount of theory and applications. The key areas covered are Python, tableau, regression, classification, decision trees, random forest, SQL and more. The program is in a Boot Camp format, with more than 70 percent of time devoted to hands-on practice, assignments and projects. The capstone project is one month long and course is updated every six months.

Student assessment: The rigorous evaluation mechanism ensures that the quality of the program is maintained and participants achieve desired learning outcomes. Assessments happen in the form of quizz, class presentations, code reviews, projects, lab exercises and exams. Students are also provided personalised feedback to ensure that learning outcomes are met.  

Learning resources: It is provided in the form of books, practice Exercises, lab assignments, downloadable resources, LMS, videos, question paper and mentoring sessions.

Parameter 2: Faculty (Rating 4.8)

Total no. of faculties: 87

Total no. of faculty members with PhD: 31

Total no. of faculty members with industry experience: 87

Student to faculty ratio: 5:1

Parameter 3: Student Experience (Rating 4.6)

Percentage of students who completed the course: 95%

Post-completion engagement: Every graduating student becomes a Great Lakes Alumni. All candidates also receive full placement support for up to three months post program completion. In addition they have access to Great Learning learning material (videos) that is continuously updated. They also get opportunity to mentor students, provide career guidance and others.

Placement assistance: Full placement assistance is provided in the form of feedback on CV, and mock interviews.

Parameter 4: Other Attributes (Rating 4.5 )

Entry criteria for student: Candidates should have scored more than 60 percent across X, XII and graduation, along with a work experience of less than three years. The applicants need to take online test followed by rigorous interview. The final decision of selection is taken by the Program Director.

External collaboration: It has academic collaboration with Great Lakes Institute of Management and industry collaborations with the likes of Microsoft, Accenture, Deloitte, EXL, WNS, Cognizant, American Express, Absolute Data, HSBC, etc. It also has collaborations with Bajaj Allianz, WNS Global, XL Catlin for Ideathons, Hackathons, live capstone projects and customized training programs.

The overall rating is 4.65.


5. MSc In Business And Data Analytics By INSOFE (International School of Engineering)

Founded: 2011

Mode of delivery: Classroom

Course duration: 18 months

Number of hours: 1200+

Cities of operation: Bengaluru, Hyderabad, Pune

Course fees: 17,000 Euros

INSOFE is the reigning leader in the area of data science in India. The curriculum of INSOFE stems from research led by the in-house team of 35+ strong data scientists who work on cutting-edge research and industry leading projects spread across verticals. INSOFE students are abraded with knowledge, skills, tools and techniques to solve complex real world problems, in ways not normally covered by theoretical books.

Parameter 1: Course Content (Rating 4.6)

ComprehensivenessThis is a unique and formidable course seamlessly covers the entire spectrum of business applications. This twinning program enables the students to complete their first semester in India at any of the INSOFE campuses, followed by another semester at Rennes Campus in France. This program intends to metamorphose engineers to face the current wave of advancements in the industry fuelled by data science, analytics and big data engineering. It has a capstone project of 6 – 9 months, with course being updates every 6 months

Student assessment: A multi-pronged assessment approach ensures that learning is maximized. The assessments test the students’ ability to grasp the terminology through concepts and to apply those concepts in business problem scenarios. These are done throughout the program to gauge their progress continuously. There are multiple exams to test the conceptual knowledge and application level understanding of the participants. The projects and assignments have to be completed within stipulated timeframes to be eligible for being awarded grades.

Learning resources: It includes books, downloadable resources, LMS, videos, question papers and various case studies across industries. 

Parameter 2: Faculty (Rating 4.9)

Total no. of faculties: 62

Total no. of faculty members with PhD: 24

Total no. of faculty members with industry experience: 62

Student to faculty ratio: 5:1

Parameter 3: Student Experience (Rating 4.5)

Percentage of students who completed the course: 100%

Post-completion engagement: They provide Visa assistance, in grabbing paid internships, career support through fairs in Europe and India, alumni connect, knowledge sessions through INSOFE LMS and provide up to two years post work Visa.

Placement assistance: They provide full placement assistance through alumni network, resume designing, helping them with interview process, carrying industry talks and others.

Parameter 4: Other Attributes (Rating 4.3)

Entry criteria for student: Entrance exam and interview

External collaborationIn addition to of being Triple Crown Accredited with AACSB – EQUIS – AMBA, Rennes School of Business provides a permanent link between the students, the Faculty members and the French or international companies. They have collaborations with over 100 multinational companies such as Adidas, Coca Cola, Decathalon, Airbus, EY, IKEA, LOREAL, KPMG, P&G and PWC etc.

The overall rating is 4.57.


6. Post Graduation Programme Business Analytics By International Institute of Digital Technologies (IIDT)

Founded: 2016

Mode of delivery: Blended

Course Duration: 1 year

Number of hours: 540

Cities of operation: Tirupati

Course fees: ₹ 5 Lacs

IIDT was initiated by government of Andhra Pradesh under the dynamic leadership of Honorable Chief Minister, Sri. Nara Chandrababu Naidu Garu. It is run under the guidance of J. A. Chowdary, Special Chief Secretary & IT Advisor to the Chief Minister of Andhra Pradesh.

Parameter 1: Course Content (Rating 4.5)

Comprehensiveness: At IIDT, the focus is on the transformational pedagogical approach, which follows a hybrid model. It has a combination of personalised learning and collaborative approaches such as classroom coaching, live projects and industry-driven research. It covers tools such as R, Python, Spark, marketing analytics, among others. The capstone project is of the duration of 3 months, while the course is updated every 6 months.

Student assessment: Course is divided into three trimesters, which is followed by exam and a mini practical project. The final score is given in given in CGPI.

Learning resources: It includes books, downloadable resources, videos, question paper, conference, hackathons

Parameter 2: Faculty (Rating 4.2)

Total no. of faculties: 10

Total no. of faculty members with PhD: 4

Total no. of faculty members with industry experience: 4

Student to faculty ratio: 30

Parameter 3: Student Experience (Rating 4.5)

Percentage of students who completed the course: 100%

Post-completion engagement: It includes alumni engagements in the form of seeking mentorship.

Placement assistance: They provide assistance through alumni network, resume designing and helping them with interview process.

Parameter 4: Other Attributes (Rating 4.3)

Entry criteria for student: Students must take entrance test followed by personal interview.

External collaboration: They have guest lectures from industry network along with ensuring  industry visits for IIDT students. Students can attend conferences, seminars, hackathons with the government and industry connects. Some of the mentor organisations with IIDT are CISCO, Infosys, TCS, Wipro, Fractal Analytics, Wiley, RR Donnelley, SAP, APTS, IBM, eMudhra, HCL, to name a few.

The overall rating is 4.37.


7. Master Of Business Administration (Data Sciences And Data Analytics) By Symbiosis Centre For Information Technology  

Founded: 1999

Mode of delivery: Blended

Course Duration: 2 years residential programme

Number of hours: 1500

Cities of operation: Pune

Course fees: ₹.13.14 Lacs

A constituent of Symbiosis International University, SCIT has been a pioneer in imparting education in niche areas of IT and business management in India for more than a decade. The MBA in data science and data analytics aims at imparting professionals with technology advancement and equipping professionals with AI and data analytics knowledge.

Parameter 1: Course Content (Rating 4.6)

Comprehensiveness: The unique curriculum at SCIT captures end-to-end data life cycle exclusively through hands-on using R & Python (data mining, machine learning, text analytics, data visualization, predictive analytics, deep learning). It also helps in developing and managing infrastructure to support big data analytics — MongoDB, VoltDB, Neo4j, Hadoop Ecosystem, etc. They provide a capstone project for 1-3 months and the course is updated every year.

Student assessment: The evaluation includes continuous and term-end evaluation. Continuous evaluation in general, is formative while the term-end evaluation is summative in nature. Evaluation is done under the supervision and jurisdiction of university, which includes activities such as online test, open book test, research essay, assignments, quizzes, case studies, practical, presentations, viva and others.

Learning resources: It provides books, downloadable resources, LMS, videos, question paper, MOOC courses, open source software tools, usage of softwares like SPSS, AMOS and SAS

Parameter 2: Faculty (Rating 3.8)

Total no. of faculties: 4

Total no. of faculty members with PhD: 4

Total no. of faculty members with industry experience: 2

Student to faculty ratio: 15:1

Parameter 3: Student Experience (Rating 4.4)

Percentage of students who completed the course: 100%

Post-completion engagement: Engagement takes on many forms (academic, employment, research participation, and social activities)

Placement assistance: Full assistance

Parameter 4: Other Attributes (Rating 4.4)

Entry criteria for student: Students are admitted through entrance exam

External collaboration: It has industry collaboration with SAS, SAP, KPMG and others for hackathons and predictive modelling training. It also collaborates with foreign universities for expert lectures.

The overall rating is 4.3.


8. Graduate Certificate In Big Data & Visual Analytics By SP Jain

Founded: 2004

Mode of delivery: Classroom

Course duration: 8 months

Number of hours: 360

Cities of operation: Mumbai, Singapore, Sydney, Dubai

Course fees: ₹ 5 Lacs

S P Jain School of Global Management is an Australian business school offers undergraduate, graduate and courses in business and in data science.

Parameter 1: Course Content (Rating 4.3)

Comprehensiveness: Course includes data science with Python, statistics with R, advanced data structures, Hadoop, Spark, introduction to cloud, SQL, marketing & financial analytics, and more along with internship. The capstone project is of duration 1-3 months with course being updated every 6 months.

Student assessment: The students are continuously assessed through quiz, assignment, homework, test and hackathons.

Learning resources: It includes books, downloadable resources, LMS, videos, question papers.

Parameter 2: Faculty (Rating 4.1)

Total no. of faculties: 12

Total no. of faculty members with PhD: 6

Total no. of faculty members with industry experience: 8

Student to faculty ratio: 4:1

Parameter 3: Student Experience (Rating 4.3)

Percentage of students who completed the course: 90%

Post-completion engagement: The students are placed as data scientists, data analyst and consultants in leading companies. The alumni network helps in mentoring students registered as a part of the programme.

Placement assistance: Full assistance, Resume designing, Helping them with interview process, Professional Grooming

Parameter 4: Other Attributes (Rating 4.1)

Entry criteria for student: STEM background required

The overall rating is 4.20.


9. Post Graduate Diploma in Management (Big Data Analytics)  By Goa Institute Of Management

Founded: 1993

Mode of delivery: Classroom

Course duration: Two year, full time, residential

Number of hours: 1450

Cities of operation: Goa

Course fees: ₹ 15.25 Lacs

GIM is one of the premier B-Schools in its 25th year of existence. It offers full time and part time courses in healthcare management and big data management.  It is a non-profit organisation, operating its own self-contained campus, with best student-faculty ratio in the country.

Parameter 1: Course Content (Rating 4.2)

Comprehensiveness: The course content was evolved after consultation with leading industry practitioners, academicians and consultants in analytics field. Course emphasises hands-on training in data science lab, programming in R, SAS, Spark and others. It is supported by a novel concept of “Industry Associates” who provide live problem and data sets. It also includes capstone project of more than 3 months, while the course is updated every year.

Student assessment: They follow Assurance of Learning (AOL) framework that mandates programme level objectives (PLO) and course level objective (CLO). The typical components include class participation, quizzes, assignments, mid-term exam and end-term exam. Capstone projects and company internships are also taken into consideration. Students failing to get minimum grades at any point during the course have to discontinue the programme.

Learning resources: It includes books, downloadable resources, videos, question paper, live datasets from companies that have signed MoUs with us as Industry Associates.

Parameter 2: Faculty (Rating 4.2)

Total no. of faculties:12

Total no. of faculty members with PhD: 12

Total no. of faculty members with industry experience: 12

Student to faculty ratio: 5

Parameter 3: Student Experience (Rating 4.0)

Percentage of students who completed the course: This is the first batch

Post-completion engagement: We envisage full absorption by our ‘Industry Associate’ companies

Placement assistance: Full assistance through alumni network, resume designing, helping them with interview process.

Parameter 4: Other Attributes (Rating 4.1)

Entry criteria for student: We set CAT/GMAT/XAT/CMAT cut-off, administer our own all-India online test, followed by GD and PI.

External collaboration: They have tied up with SAS institute for pedagogic support in lab courses. They have MoUs with select companies, which would provide students with live problems and data sets. They have signed with HDFC Bank and are in advanced stage of signing with 14 other companies. They are also in talks with some universities abroad such as Santa Clara University and Central European University for collaboration.

The overall rating is 4.12.


10. PGDM-Research and Business Analytics By Welingkar

Founded: 1977

Mode of delivery: Classroom

Course duration: 2 years full time, recognised by AICTE, Govt. of India

Number of hours: 1035

Cities of operation: Mumbai, Bengaluru

Course fees: ₹ 11.6 Lacs

WeSchool is a pioneering management education institution with emphasis on design-led innovative management education. In 2016, WeSchool introduced new 2 year, full time AICTE approved Post Graduate Diploma Programs (PGDM) in ‘Research and Business Analytics’. The institution constantly experiments with new pedagogical approaches to enhance student learning.

Parameter 1: Course Content (Rating 4.2)

Comprehensiveness: The course is 54 percent business domain knowledge and remaining 46 percent is analytics. Analytical tool covers branded softwares like IBM-SPSS, Frontline Analytic solver, Palisade Decision Tools as well as open source software Python, Tableau. Course covers advanced statistics, Data Mining, SQL, Optimisation Techniques, Predictive Analytics, Machine Learning Algorithms, Cognitive Technologies, IOT & Fintech. It also has a capstone project for duration of 1-3 months and course is updated every year.

Student assessment: Students are assessed on the basis of regular internal assignments and term end examinations. Internal assessment has weightage of 40 percent & term end examination has 60 percent respectively. The capstone project is jointly assessed by a team comprising of faculties from academics and industry experts. The hands on capability of various Analytical tools are also evaluated through the internal assignments.

Learning resources: Books, Downloadable Resources, Videos, Question Paper

Parameter 2: Faculty (Rating 3.9)

Total no. of faculties: 6

Total no. of faculty members with PhD: 4

Total no. of faculty members with industry experience: 4

Student to faculty ratio: 1:2

Parameter 3: Student Experience (Rating 4.0)

Percentage of students who completed the course: 100%

Post-completion engagement: Alumni Engagement & mentoring

Placement assistance: Full assistance through alumni network, resume designing and helping them with interview process

Parameter 4: Other Attributes (Rating 4.0)

Entry criteria for student: Entrance exam

External collaboration: They have collaborated with DXC India Pvt Ltd who is a part of global DXC Tech group, which is one of fortune 500 companies giving end-to-end solutions to companies in the fields of banking & capital markets, technology, and more.

The overall rating is 4.0.


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