Dual Specialization
Engineering + Data Science
A New-Age Masters in Data Science Program
for the Next Decade
for the Next Decade
Admissions are in Progress
Summer Cohort
Master’s Programs
Offered in collaboration with INSOFE
MS Programs in Data Science for any Engineering Graduate
MS Programs for any Engineering Graduate
Gearing up Extremely Skilled Engineers for Cutting Edge Careers
Master’s in Data Science for Engineering Specialists
Data Science has permeated across disciplines and can be utilized to build enterprise grade applications, find cures to diseases, develop solutions to industry problems or even address ways to prevent environmental degradation in an ethical manner.
The INSOFE/Case Western Reserve University collaboration has hence come up with unique masters’ programs for engineering specialists who wish to combine their domain specialization with data science knowledge. Students can pursue computer science specialization, mechanical engineering, biomedical engineering, or civil engineering under this partnership.
The masters data science program as part of this collaboration will require the student to complete all coursework in data science in India prior to traveling to Case School of Engineering (Cleveland, USA) to take the engineering domain specialization courses.
While the INSOFE courses can be taken as part-time classes, the coursework at Case School of Engineering is full-time and requires the students to be present on-campus in the USA to receive a master’s degree.
Students will work on real-world projects to gain the practical skills required to work in the industry. All classes are taught in a manner that focus on teaching applied data science and engineering skills to the students so graduates can attain a successful career as a data scientist, data analyst or machine learning engineer upon completing the program requirements.
Students who complete all the program requirements with INSOFE and Case Western Reserve University will graduate with a Master of Science in engineering and data science and become eligible to apply for up to 3 years OPT in the USA.
About Case Western Reserve University
With 140 years of experience, the Case School of Engineering at Case Western Reserve University is rooted in collaborative research and experiential learning. It is ranked 51st among the best Engineering schools by U.S News.
The first accredited computer engineering degree and biomedical engineering program in the U.S were started by Case School of Engineering in the 1970s.
Students attending this university will expand their knowledge, deepen their understanding, and solve complex problems utilizing Data Science. They will have the opportunities to inquire, discover, and create collaborative data science research projects alongside distinguished faculty. They will also build a global professional network while attending classes in one of the most culturally robust communities in Cleveland.
Founded in 1826
Ranks Among the
top 20 private
institutions in USA
19% of Students
are from Outside
the U.S.A
Higher Learning
Commission -
Accreditation
12,000 Students
from 81 Different
Countries
The Case School of Engineering at Case Western Reserve University recognizes the importance of Data Science’s role in the industry and across the engineering disciplines.
Our dual specialisation master’s degree programs provide a rigorous curriculum based in Data Sciences and designed to help our graduates stand out in their field.
I offer my sincerest welcome to the new students joining our programs through our partnership with INSOFE.
Venkataramanan “Ragu” Balakrishnan
20,000+
Alumni from 70+ Countries
175
Patent Applications
13th
For Commercialization of Research
17
Nobel Laureates
Program Benefits for MS in Data Science for Engineering Specialists
As part of the master’s program, students will spend the first 6-7 months attending a data science program to hone their data science skills at INSOFE in India prior to traveling to Case Western Reserve University to pursue their master’s degree.
This six-month training with INSOFE termed as PGP will ensure that you can contribute to the various R&D projects that combine AI with your specific domain skills during your masters at Case Western Reserve University.
You will be trained by world renowned professors so you can pursue a master’s in data science and a dual specialization in an area that interests you.
This program will open up the opportunity for you to work on different data science research projects, collaborate with different people in two countries, and develop a more in depth understanding of engineering and data science topics.
Taught by world-renowned
academicians
Guided by senior data
scientists
Exciting Research
Opportunities
Attain greater depth in
Engineering and Data Science
Examine problems with a data
science mindset
Hands-on practical education
in 2 countries
About INSOFE
INSOFE is a world-class research, consulting, and graduate education institution with a deep focus on Data Science, Artificial Intelligence, and Machine Learning. Extending the horizon beyond the perception that Data Science is a specialization in computer science, INOSFE recognizes the discipline as a fundamental alternative that practices deductive science with data
INSOFE’s twinning agreements with 5 universities/colleges from 4 countries resulted in the PGP programs being accepted as first semester credits towards attaining graduate degrees. It is a first of its kind distinction offered to any privately started institute in India.
With 35+ doctoral students in data science from 7 countries within the first year of launch makes INSOFE’s DBA one of the largest executive doctoral degrees in data science in the world.
Choose INSOFE to benefit from a master’s in data science with a dual specialization for Engineering specialists at Case Western Reserve University. Attend 15 credits worth of classes in India and complete the rest of the master’s program in Case School of Engineering to graduate with a dual specialization master’s in data science.
Distinguished faculty with PhDs from top universities
75+ Patents
300+ Research papers
20+ years of average work experience
Practicing Deep Learning, Artificial Intelligence and Machine Learning has become easy. What used to be a PhD problem 5 years back is a classroom practice for an engineer today.
Hence, people are working on much more complex problems and solving much more important issues using Data Science.
Dr. Dakshinamurthy V Kolluru
600+
Students on Campus
8
Core Research Groups
70
Full-Time Faculty
6000+
Alumni
5
International Academic Tie-Ups
Career Opportunities
According to LinkedIn’s analysis of careers in 2021, Artificial Intelligence Practitioners and Data Science Specialists are among the top 15 in demand professionals with over 30% growth rate in their respective fields. Pursuing a masters with a dual specialization in engineering and data science will put your resume in great demand across industries.
Upon graduating with a Master of Science in this field, you will be a top candidate for positions such as Machine Learning Scientist, Data Architect, Data Engineer, and Data Analyst in any industry of your choice. You will be able to combine data structures, data visualization, and entity relationship models with data science principles and computer programming abilities upon graduating with this dual specialization master’s degree.
An impressive combination of Engineering, Biology and Data Science, this Master of Science in Biomedical Engineering and Digital Health Analytics will enable you to pursue exciting career opportunities in Biotechnology, Pharmacy and Healthcare industries.
Space, Energy, Oil & Gas and Petrochemical Industries are seeking talented engineers who have the ability to mine terabytes of data to build environmentally friendly solutions. On the other hand, Machine Learning techniques help engineers better understand, predict, and navigate environmental changes. Graduates with a Master of Science in this field, can apply to exciting jobs such as Environmental Engineer, Landscape Architects, Geotechnical Engineer, and Civil Engineering Technicians.
Upon graduating with a Master of Science in this field, you will be a top candidate for opportunities within Industry 4.0 startups as well as in the Manufacturing and Automotive Industries. With a knowledge of AI, you will increase efficiency and develop new business models.
All these data science master’s for engineering specialists are STEM programs. Students are eligible for up to 3 years* of Optional Practical Training (OPT) upon successfully graduating with a masters degree.
*Subject to approval by USCIS.
Life in Cleveland
Studying in the U.S is not just about mastering data science concepts and the connections you make at the university. As a graduate student you still get plenty of opportunities to explore the non-academic aspects of life in the U.S. Don’t hesitate to step out of your comfort zone to explore the city and the university before hitting those books.
Cleveland is a beautiful city that is home to great museums, parks, as well as a very interesting downtown to satisfy different interests of students and residents alike. Whether you’re an avid artist, a nature enthusiast, a museum aficionado or a food connoisseur you can find something to meet each of those interests. Check out this list of top things to do in Cleveland and at Case Western Reserve University.
Information Session
“The best way to learn about INSOFE programs and pursuing a master’s in data science with a dual specialization at Case Western Reserve University is to attend the Live & Free information sessions. Our senior-most advisors and faculty explain the data science programs in simple and clear terms and answer all your questions.
If you already know a program to study, you can call us or have us call you”
FAQ
What is taught in MS in data science?
At INSOFE, data science education is one part of your curriculum while the other changes based on the specialization that you pick for your graduate education.
Students enrolled in the Master of Science in engineering and data science programs will typically gain an in-depth understanding of both their domain areas as well as the data science concepts.
INSOFE offers a variety of master's programs for engineering students who wish to pursue a career in data science. The coursework for the different master’s programs will be split between INSOFE and Case School of Engineering and require students to attend classes at both institutes.
As part of the data science program component, you need to learn concepts pertaining to Statistics, Algorithms for Machine Learning, Data Visualization, Artificial Intelligence, Data Mining, and Big Data at INSOFE in India.
Following this, students will travel to Case Western Reserve University to gain an expertise on their domain specific engineering field.
Students who wish to focus purely on a computer science specialization have the option to pursue a
Masters in Computer Science and Artificial Intelligence.
The data science program components for this masters will involve learning topics in Computer Vision, Quantum Computing, Computer Networks, Machine Learning, and Big Data at INSOFE.
Following this, students will learn more about topics in Artificial Intelligence, Bioinformatics, Computer Networks, Software Engineering, and Security and Privacy at Case School of Engineering.
To learn more about these programs, visit the academic programs page and select masters-computer science and core engineering options.
How long is a master's degree in data science?
Typically, a master's program is designed for a period of 2 years. However, the Master of Science in engineering and data science programs at Case Western Reserve University in collaboration with INSOFE will require the student to complete 15 credits of coursework in India prior to traveling to Case School of Engineering so the remaining coursework can be completed in 2 semesters.
This master's program is designed for a period of 16 months and can be completed over a course of 3 semesters in total. The program is a full-time masters that requires the student to be present on campus for the duration of their study. However, data science students at INSOFE take part-time classes at the Hyderabad or Bangalore locations.
Which country is best for MS in data science?
It is not even right to think in that line. Selecting the right program, university, and country for higher education all depends on your career objectives and your background (professional and education).
Every country has some excellent schools offering data science programs. If you want to learn and get exposed to cutting edge technologies, typically US universities are at the forefront. However, if you want an advanced education system that is a lot closer to the Indian system and a bit more pocket friendly, then UK is a better option. On the other hand, if your family constraints require that you be in India for the next few years and you do not want to spend much then Indian programs are better.
Can I do master's in data science in USA?
To pursue a master’s degree in the field of data science in the USA, you should have minimum 16 years of formal education and an undergraduate degree in engineering, computer science or business backgrounds.
INSOFE and Case Western Reserve University jointly offer dual specialization master’s in engineering and data science degrees to individuals from different engineering backgrounds so they may pursue exciting careers in the field with a data science expertise upon graduating from the program.
To complete the master's degree, students need to complete their part-time data science training with INSOFE in India before traveling to Case School of Engineering to attend full-time on campus classes. This master's degree is one of the only programs that teaches you the skills required to take on jobs that combine domain expertise with data science knowledge.
Who should pursue a data science masters?
An individual who wishes to utilize topics such as statistics, artificial intelligence, machine learning components, and other relevant knowledge to address the problems in their industry should consider pursuing a masters in data science.
Data science programs at INSOFE are designed for engineers, computer science programmers, and business professionals. The Case Western Reserve University master's programs are designed for engineers who wish to approach engineering problems (Mechanical/Civil/Biomedical) through the lens of data science.
The master's in computer science is for computer programmers who wish to further their technical prowess in the field, understand data visualization, and build enterprise grade applications. On the other hand, a business analytics course is for individuals who wish to utilize data science principles in organizational decision making.
These masters programs are designed such that an individual completes part of the program requirements in India by attending part-time data science classes at INSOFE prior to travelling to Case Western Reserve University to attend full-time on campus engineering classes.
When should someone pursue a master's in data science?
Typically masters programs in engineering are very hands on, rigorous, and demanding. Normally people who graduated from college within the last 5 years find it easy to pursue a master’s degree. However, no international university discriminates based on age/gender or any other identifiers and parameters. If you believe you can put in the work needed to do a highly rigorous program with hands on labs and work on assignments and projects, then age is no barrier in applying to a master's degree.
There are several universities offering an MS in data science degree or an M.Sc in Business Analytics degree. However, the unique programs at INSOFE ensure that individuals with varying educational and professional backgrounds all acquire the skills needed to further their data science careers be it in engineering (Case Western Reserve University masters) or business (business analytics degrees and MBAs).
All such programs require the student to attend part-time data science classes at INSOFE prior to travelling to our partner university to complete the remaining degree requirements as full time students on campus.
Is GRE required for MS in data science?
While most universities in the USA require students to submit GRE and TOEFL scores for a master's degree admission, the Master of Science in engineering and data science programs offered by Case Western Reserve University in partnership with INSOFE do not require students to submit any competitive exam scores.
Students who perform well on INSOFE Entrance Exam (INEX) and receive admission to the PGP program will be eligible to apply to Case School of Engineering and receive a waiver for the GRE and TOEFL score submissions.
Is master's in data science worth it?
We can think of engineers in two broad groups, those with programming background and those with other core specialization.
For individuals with computer science and programming background, master's in data science prepares them to work in high technology companies building AI driven products and solutions. According to LinkedIn, this is one of the highest paying jobs across the globe.
For individuals with an engineering background, data science based analysis offers engineers new ways to understand phenomena, design components, and build smarter machines. With an increasing need for machines to become more intelligent and solve tougher problems, the demand for engineers who can build and train such machines is growing exponentially.
So yes, it is absolutely worth it to pursue a masters in data science in the current global economy!
Can I get a job with a Masters in data science?
According to U.S Bureau of Labor Statistics, there is a projected growth rate of 28% in data science jobs. In addition, LinkedIn's analysis has found that individuals with Data Science, Artificial Intelligence, and Machine Learning Skills are among the most in demand professionals across industries in 2021.
In order to pursue a career in data science, and get a job as a data scientist, a machine learning engineer, data analyst or data architect you need to be an engineering expert in your niche field and possess data science skills needed to take on senior level jobs in the field.
The Master of Science in engineering and data science programs offered by Case Western Reserve University in collaboration with INSOFE will ensure that you gain the required domain specific knowledge as well as the data science skills needed to pursue exciting career opportunities across diverse locations and industries. This is one of the only programs designed to train you two niche fields at the same time, so you attain dual expertise upon completing all the program requirements.
These full-time programs require the INSOFE data science students to be on campus for the duration of their study in the USA. However, the INSOFE classes are offered part-time at the Hyderabad and Bangalore locations in India. To learn more about each of the program options, visit the program specific pages.
In addition, the unique location of Case Western Reserve University (Cleveland, OH) and the career services provided by the university will help guide you on the right career path upon graduation.
Is masters enough for data science?
Selecting higher education options usually depends on what you want to do. If you want to teach or pursue research in a lab, then you definitely need to go for a PhD. However, if you want to stay in the industry and work on solving industry problems then a master’s degree is a pretty high degree that will give you enough skill and respect in the field.
Data Science master's programs offered at INSOFE teach students in depth concepts pertaining to the field of data science, machine learning, and artificial intelligence. However, in addition to these skills, students also gain expertise on their domain knowledge (computer science, core engineering or business management).
The master's program is designed to provide students a dual expertise in two niche fields and ensures that students who graduate from INSOFE programs have fulfilling and successful career opportunities across industries and geographies.
Only those students who wish to gain further prowess in the industry and develop patentable research or take on more senior leadership roles would need to pursue doctoral education. However, if you want to become a scientist and grow in a research lab, while a masters can give you a start in the field, a doctoral degree may be a better idea. For all other candidates a master's education in data science will boost their resume and enhance their career in the field.
Irrespective of the degree chosen, data science is one of the fastest growing fields in the global economy with various career opportunities for highly skilled and trained professionals. If you have acquired the right skill set needed for the job and have the required domain knowledge, then you can be confident of building a successful career.