"There were 5 exabytes of information created between the dawn of civilization through 2003, but that much information is now created in every 2 days" - Eric Schmidt, Executive Chairman, Google
Every day, we create 2.5 quintillion bytes of data — so much that 90% of the data in the world today has been created in the last two years alone. This data comes from everywhere: sensors used to gather climate information, posts to social media sites, digital pictures and videos, purchase transaction records, and cell phone GPS signals to name a few. This data is big data and mainly constitutes the unstructured data. This Big Data offers challenge in term of storage and further analysis in rest of in real time. One can dig gold mine if we are able to make sense out of big data.
In a global and highly interconnected world we live in, the one greatest power is the right information. Data Science, Big Data and Business Analytics is thus the primary tool for any organisation, society, Govt. to seek for competitive advantage and optimisation of the existing ecosystem. A career in Business Analytics, Big Data and Data Science promise a lot of challenge, opportunity, and reward.
Modern Data Scientists are Supermen with Crystal Ball
Data Scientists are super men who tell stories out of the data, respective of the size of data: big or small. They answer questions like what’s happening. What will happen? What we should do now? These are commonly termed as BI, Predictive analytics and Prescriptive Analytics. They use statistics, Machine learning, NLP, R, Python, Hadoop, Spark to create Crystal Ball to predict future, solve business problem or find out the missing opportunities. Snapdeal, which has over 20 million subscribers and generates terabytes of data through the interactions that happen with customers in addition to a catalogue of over 5 million, churns 15 million data points (related data set like a consumer shopping on specific days for a particular thing) within two hours, using Hadoop. About 35% of its orders come from recommendation and personalized systems, and the conversion rate of such orders is 20-30% higher than normal orders, the company claims.
Post Graduate Program/Masters (PGP/MS) in Data Science, Business Analytics and Big Data (PGP-DS-BA-BigData)
Post Graduate Program? Masters in Data Science, Business Analytics and Big Data(PGP-BA-BigData) is India’s first high end data science program designed and delivered by Aegis School of Business, Data Science & Telecommunication in association with IBM and to train the new generation of data-savvy professionals. This 11 months program provides you intensive hands-on training to develop the necessary and unique set of skills required for successful career in the fastest growing and intellectually stimulating fields of Data Science, Big Data, Business Analytics, Predictive Analytics, NLP, ML and Cognitive Computing. Students who earn a PGP develop deep quantitative capabilities and technical expertise and are equipped to create business and social value by extracting useful insights and applying it in a various industries by playing a role of Data Scientist or modern Business Analyst.
This program is delivered at Centre for Excellence in Telecom Technology and Management (CETTM), MTNL's world class campus with state of art "IBM Business Analytics Lab" and "IBM Cloud Computing Lab" at Powai in Mumbai.
Course Modules taught by IBM IBM subject matter experts teaches courses like Business Intelligence using Cognos BI, Big Data Analytics using IBM InfoSphere Big Insight, IBM SPSS, Enterprise Performance Management using IBM Cognos TM1, Watson Analytics, IBM Blue Mix etc |
Scholarships Deans Scholarship for Women in Technology Leadership; Aegis Graham Bell Award Scholarship for Big Data Products; Data Science Scholar. Study Loan by HDFC Credila. |
Globally acceptable Credit Structure This program follows Globally acceptable 45 Credit Unit for master degree. In North America any master degree is min 36 Credit Unit. This program is spread over 9 months plus 2-3 months Internship or consulting assignment. |
Skill for various industries & Functional areas The curriculum caters to the skill requirements in various industries like Ecommerce, Telecom, Banks, Computer Services, Education, Healthcare, Insurance, Manufacturing, Retail and other industries. |
Diverse student profile Aegis participants' are from around the world with experience ranging from 2 year up to 25 years from diverse industry and background. |
Delivered by Best Data Scientist This program is delivered by best Data Scientist engaged in real-life Data Science and Big Data Analytics projects from around the world. Check profiles.... |
World Class LMS on Cloud Aegis uses world class Learning Management System (LMS) on cloud called mUniversity(mUni). All lectures, tons of study material, ebooks, business cases, video lectures available on LMS. Check sample session of Mr. Srikanth Velamakanni, CEO, Fractal Analytics atmUni...... |
Big Data Day leadership Series Aegis Big Data Day Meetup provides an opportunity to meet Data Science, Big Data, Analytics leaders.Register for latest Meetup |
Download Aegis Business Analytics and Big Data Brochure
If you enjoy working data in different ways, exploring the stories that data may reveal, and even experimenting with visualization techniques, you may enjoy a role in data science. Whether you have an academic background in business, economics, technology, statistics, mathematics, or engineering, you are looking for a career change that will prepare you to generate high impact. You search for a challenging role that allows you to integrate the value of data into all business functions. Data analysis is necessary in almost every field and industry and Business Analysts, Big Data professionals and Data Scientists are expected to play a role in guiding strategic decisions. They are in a unique position to assist leaders in determining the right questions to ask as well as in interpreting the answers that data provides to help determine the organization's most effective courses of action.
Job Opportunities
While there is a large and growing demand for professionals trained to collect data and use analytics to drive performance, there is currently a deficit in the supply of these individuals in the global job market. The deficit in the market for data/ Big Data analytics professionals is growing exponentially and poses a serious challenge for recruiters, but it is an enviable opportunity for professionals who have the right skills and training to fill these positions.
Get in Touch with Aegis Big Data Career Adviser Team at +91 704 531 4371/ +91 8422970034/+91 882 808 4908/ +91 902 213 7010
You can also email your Resume to admission@aegis.edu.in and request a call back for consultation
Aegis School Of Business, Data Science & Telecommunication
Mumbai
CETTM, MTNL, Technology Street, | Hiranandani Gardens, Powai, Mumbai – 400076, India
New Mumbai
11th Floor, Kukreja Center, Sector 11, Central Business District (CBD), Belapur, New Mumbai 400614, India
Pune
101, Pentagon Tower III, Magarpatta City, Hadapsar, Pune
Bangalore
6th Floor Prestige Meridian 1 M G Road Bangalore
www.aegis.edu.in
Certification Body: | IBM and Aegis |
---|---|
Location: | Online Live |
Type: | Degree Program |
Director: | Dr.Vinay Kulkarni |
Coordinator: | Mr. Ritin Joshi |
Language: | English |
Post Graduate Program (PGP) in Business Analytics & Big Data in association with #IBM is featured among the Top 10 Analytics Courses in India. The course curriculum is the Best among Masters in Data Science programs. This Program is hardcore technology program. It is more of MS program and NOT inferior cousin of MBA/PGDBM programs in Business Analytics. This 11 months intensive program lays down your foundation for serious Developer, #DataScience Career or #BigData Advisory, #BusinessAnalyst roles.
Hon'ble Dr. Jitender Singh, Minister of State in the Prime Ministers Office; Department of Atomic Energy and Department of Space honored the winners of Aegis Graham Bell Awards 2015 for their breakthrough innovations. Check the winners under Analytics and Big Data categories.