Reasons why you should study Masters in Big Data and Machine Learning
Darwin’s theory about “the survival of the fittest” has never been truer as it is in the current digital economy. Anyone who refuses to acknowledge the shift that the fourth industrial revolution has entailed is on the brink of professional extinction. Being too comfortable in a soon-to-be-obsolete profile is a mistake. As more and more companies enter the big data & machine learning space, it is becoming inevitable for professionals to upskill themselves with the skill set required for a secure future in the digital economy. Great Lakes PG Program in Big Data and Machine Learning provides the perfect opportunity for professionals to equip themselves with data science and machine learning tools and techniques to make data-driven decisions. The program helps build a strong statistical background that provides the candidates the edge they need to transition to Data Science. Here are some of the benefits of pursuing the PGP-BDML program:
PGP-Data Science is a program that helps you build a strong foundation in data science by offering a unique learning experience where students can apply their learning to real-life business problems. Experiential learning is not just a criterion, but it is an underlying essential element of our pedagogy. Case studies shared by faculty and industry mentors help candidates evolve from freshmen in big data to analytics professionals with a deeper understanding and commitment to solving real business problems. 8 mini-projects and a capstone project over a span of one year enable our candidates to learn Big Data and Machine Learning tools and techniques along with their application. The hands-on experiential projects serve the dual purpose of being a tangible body of work ready to be showcased to potential employers and instilling confidence & conviction in our candidates. Assignments, case studies, and instructor-led sessions in our virtual lab groom a candidate to experience the use of data science effectively.
The Great Lakes PGP-BDML faculty members are not only leaders in academia, but also influences in their domain having a substantial experience in the industry ranging from years to decades. Participants learn through assignments, real-life case studies, and interactive sessions developed and delivered by our professors. They also learn to refine their approach to business problems when faculty shares their experiences from the industry. Two of our faculty members have featured in the top 10 analytics faculty in the country. Whether it is Dr. P.K. Vishwanathan’s “shameless copy” approach for Excel formulas or Dr. Bappa’s sense of humor, our students are always on the lookout for more opportunities to interact with the faculty inside and outside the classroom.
Here are a few things our BDML students have to say about the faculty:
“Prof. P.K.Vishwanathan is an outstanding faculty. Executive courses are more about fine tuning, but he helps with basics too so that the entire class is on the same page. He chooses the right examples in the class to ensure that we build and strengthen our fundamentals. I, particularly, liked the quick recap he did early on the second day of the residency. The surprise test was another good thing to keep us alert. He maintains the right pace while speaking so that the words and hence the concepts are clear to us. I feel lucky being one of his student.”
Anuj Kumar, Test Lead, Oracle Finance
“The sessions on statistics were very interesting and kept all the participants engaged. Industry relevant examples were well used throughout the class. The sessions also gave us a good starting point on statistics and clear direction of its application in big data and analytics.”
Maheshwaran Sridharan, PGP-BDML Student
“I liked the lectures of the top quality faculty especially Prof. P.K. Viswanathan. The classes are relevant to the main concepts of data science and I like the way things are going.”
Dalon Francis Lobo, Data Science Intern, VideoKen
During the program, candidates are groomed to think like analysts and data scientists through exhaustive workshops and sessions with industry mentors. Career enhancement sessions by industry mentors help candidates identify their strengths and areas of development, the kind of questions they will be asked in the interview, and what organizations are looking for in potential candidates. Resume building workshops help them in getting shortlisted. Study resources are shared by faculty from time to time for candidates who want to delve deeper into the Big Data space.
For candidates new to learning big data and machine learning, the industry sessions and workshops provide ample networking opportunities. Stories of Great Learning candidates getting hired by industry experts delivering guest sessions and even their peer group are not new to us. Several companies and their leaders have entrusted us to give them competent candidates who are ready to start contributing from day 1 (Check out the top organizations our alumni work with and their inspiring success stories). Our “student and alumni success team” works tirelessly to keep our candidates informed of all the important job postings through the Great Lakes Job Board. Their efforts have resulted in almost two-thirds of our alumni transition to business and functional roles in data science and analytics within the first 6 months of completing the program.
Dual Certification and International Recognition
All our students earn dual certification from Great Lakes Institute of Management and Stuart School of Business, IIT Chicago. Hence, our program is internationally recognized and several of our candidates have migrated all around the world to contribute to data science job roles in leading organizations. Great Lakes has been ranked consistently as the Numero Uno Analytics School in India and one of the top 10 management schools in the country. Great Learning has delivered more than 1.5 million learning hours to 5000+ students in the analytical space since its inception in 2014.
Our students and alumni create a body of work during the program that they can showcase to potential employers in job interviews. 8 mini projects and a capstone project provide them the perfect platform to build a strong foundation based on hands-on practice and strengthen the concepts that they have learned. Guidance from faculty and industry mentors helps them understand the different methodologies and approaches that can be used for the business problem at hand. The e-portfolio is a readily available technical resume that helps them answer all questions about a data science project from start to finish. (Check out the sample e-portfolio here.)
Job Titles Our Program Caters to:
Job profiles have evolved tremendously since the data boom began. Newer multi-faceted job roles are coming up in the fields of data science and analytics. With PGP-BDML, our candidates are industry-ready to make a contribution to the following job profiles:
Jobs offer with PGP-BDML
- Data Scientist
- Big Data Architect
- Data Analyst
- Big Data Engineer
- Big Data Consultant
- Information Analyst/Lead Analyst
- Big Data Manager
Eligibility Criteria and Selection Process
- Bachelor’s Degree with a minimum of 50% aggregate marks at graduation or equivalent
- Minimum of two years of full-time work experience
- Hands-on programming experience
- College-level mathematics and statistics
Format: Blended learning (Weekend classroom + Online)
Duration: 1 year
Degree: Dual Certification from Great Lakes Institute of Management and Stuart School of Business, IIT Chicago
Resources: 24×7 access to a Virtual Big Data Lab, industry experts as mentors, cafeteria (lunch and snacks) on class days, access to Great Lakes Job Board
Tools Covered: R, HDFS, Hadoop, Spark, Spark Streaming, Hive, MongoDB, AWS Python, Mllib, GraphX, Tableau, Gephi