With demand gains M.Sc. in Big Data Analytics in India

Big data analytics is gaining more popularity among data science students day by day. It is one of the most sought-after career options in the advancing technological era. With companies thriving to convert data into information and information into valuable insights, knowledge of big data analytics could be ever beneficial in catering to the needs of the increasing data. This also demands many professionals with big data analytics skills and expertise. Colleges are offering M.Sc. in Big Data Analytics to prepare students better to handle data and businesses. By enrolling in this program, students can be equipped to sustain longer in the market of the data world. Such programs also help students to improve their business decisions and professional skills making them industry-ready. Here are the top 7 colleges offering M.Sc. in Big Data Analytics in India.

1. St. Xavier’s College (Autonomous)-Ahmedabad

Program: M.Sc. in Big Data Analytics

Duration: 2years

Type: Full-time

Fee: INR 90,000 per year

The M.Sc. in Big Data Analytics in India program offered by St. Xavier’s College can help in the overall development of the student by enhancing the quality and consistency of talent. The course has gained great admiration from academia, students, and various stakeholders across India. This has been developed by former Director of Indian Statistical Institute, Padma Shri Dr. Bimal Roy. The courses consist of Statistical Methods, Probability & Stochastic Process, Linear Algebra & Linear Programming, Computing for Data Sciences, and Data Management. The program is a collaborative effort of the Department of Computer Sciences, Mathematics, and Statistics. The cut-off is 50% with relevant courses in the Bachelors.

2. Central University of Rajasthan

Program: M.Sc. in Big Data Analytics

Duration: 2years

Type: Full-time

Fee: INR 37,745

The Department of Data Sciences and Analytics aims to train students in the rapidly growing field of Data Science, to be a vibrant research hub in this area, and interact with other disciplines to evaluate, analyze and utilize the knowledge. The department came up in this course in August 2018, with the partnership with Tata Consultancy Service came up with M.Sc. in Big data analytics in India. The average cut-off is 50% with a bachelor’s in mathematics as one of the subjects or B.Tech in computer sciences.

3. Ramakrishna Mission Vivekananda University-Howrah

Program: M.Sc. in Big Data Analytics

Duration: 2years

Type: Full-time

Fee: INR 47,500

Ramakrishna Mission Vivekananda Educational and Research Institute along with Tata Consultancy Services has first launched a Master’s level degree course in M.Sc. Big Data Analytics in India was designed by TCS. The postgraduate program spans four semesters. The content will be Mathematics, Statistics, Economics, Computer Science and their application in Big Data Analytics. The students can learn the fundamentals of data modeling, migration, manipulation, cleansing, and so on. It can help them learn business functions and analytics in various streams from Finance to Retail to Pharma. The fourth semester will be a full-time internship in the area of Big Data Analytics at any reputed organization for gaining experience and practical knowledge. The cut-off is 50% with relevant courses in the Bachelors.

4. St. Joseph College- Bangalore

Program: M.Sc. in Big Data Analytics

Duration: 2years

Type: Full-time

Fee: INR 1,25,000

The Department of Big Data Analytics was established in the year 2016-17 is committed to training students to analyze big data and to arrive at valuable insights in the domain. The course was designed to equip students with a Mathematical foundation, statistical and machine learning theories for analytics. Graduates with a mathematics or statistics background with 40% in the cognate subject and 50% marks are eligible.  The focus areas of this course are a mathematical foundation, statistical and machine learning theories for analytics, engineering aspects of analyzing huge volumes of data, and application of analytics in functional areas. The three semesters each of 4 months are classroom-based, and the final semester is for an internship in the industry for a better experience.

5. St. Xavier’s College- Mumbai

Program: M.Sc. in Big Data Analytics

Duration: 2years

Type: Full-time

Fee: INR 90,000 per year

The MSc in Big Data Analytics in India program offered by St. Xavier’s College can help in the overall development of the student by enhancing the quality and consistency of talent. The course has gained great admiration from academia, students, and various stakeholders across India. This has been developed by former Director of Indian Statistical Institute, Padma Shri Dr. Bimal Roy. The courses consist of Statistical Methods, Probability & Stochastic Process, Linear Algebra & Linear Programming, Computing for Data Sciences, and Data Management. The program is a collaborative effort of the Department of Computer Sciences, Mathematics, and Statistics. The cut-off is 50% with relevant courses in the Bachelors.

6. MIT World Peace University- Pune

Program: MSc in Big Data Analytics

Duration: 2years

Type: Full-time

Fee: INR 4.50 Lakh

Master of Science in Data Science and Big Data Analytics is a two-year full-time program. This is a niche program that focuses on Data Science and Big data tools and technologies. The course builds on the strength and innovation power of Science & Engineering. The program ensures to provide students with the flexibility to focus on Big Data Tools & technologies and Data Sciences. The program provides continuous guidance by the industry experts to bridge the gap between Industry & Academia. The cut-off is 50% with relevant courses in the Bachelors.

7. St. Aloysius College (Autonomous)- Kerala

Program: M.Sc. in Big Data Analytics

Duration: 2years

Type: Full-time

Fee: INR 4,100 to INR 3,00,000

M.Sc. Big Data Analytics has been developed to create Postgraduates who can become data scientists capable of working with the massive amounts of data now common to many businesses. The course is aimed to help the learner to develop the skills and expertise needed to face the industry world. The program splits into three areas: statistics, computing, and management. The eligible percentage is 50%.

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Know the Latest Quotes of Elon Musk’s Quotes in the Recent Times

Elon Musk, the CEO of Tesla and Chief officer at SpaceX is working to revolutionize transportation both on Earth and space. Musk has claimed many times that AI will be vastly smarter than humans and will overtake us by 2025. Besides this, he is also an influential person in the cryptocurrency market. Let us see a few of Elon Musk’s quotes in recent times,

” Looking at holding Tesla AI Day in about a month or so. Will go over progress with Tesla AI software & hardware, both training & inference. Purpose is recruiting”.

When Elon Musk announced to hold “AI Day” for a month early this week to showcase the progress in the new software and hardware related to artificial intelligence. The CEO writes

“In general, anyone interested in tackling the problem of physical word AI should consider joining Tesla. The fastest path is to actually deploy an idea”.

In the same context, Musk mentions Tesla as being the perfect place for planning and executing new ideas. He stated this in the context of hiring new talents.

“SpaceX launching satellite Doge-1 to the moon next year. Mission paid for in Doge. 1st meme in space. To the moon!!”

When SpaceX declared the launching of satellite Doge-1 to the moon in the coming year. The announcement comes after Musk hosted a live sketch comedy show Saturday Night Live (SNL), during which he praised Dogecoin, created as a joke but legitimized through the eccentric tech entrepreneur’s tweets.

“Cryptocurrency is promising, but please invest with caution”!

Elon Musk has been a strong proponent in the largest surge of interest in dogecoin, he has been consistently influencing the market. This was tweeted by Elon Musk in early May suggesting people invest wisely in crypto.

“A major part of real-world AI has to be solved to make unsupervised, generalized full self-driving work, as the entire road system is designed for biological neural nets with optical imagers”.

Although self-driving technology has made great progress, Elon Musk disclosed in a recent earnings call with his investors in May this year he said one of the hardest technical problems that have potentially ever existed. To solve it, he said the first need to solve a significant part of artificial intelligence, especially real-world artificial intelligence.

“At least a few years before Starlink revenue is reasonably predictable. Going public sooner than that would be very painful. Will do my best to give long-term Tesla shareholders preference.

Elon Musk said that he will only publicly list satellite broadband services Starlink when its cash flow is more predictable. A question was posed by a question of having any thoughts on Starlink IPO and that they would love to invest in the future. Musk replied saying that the revenue of Starlink is unpredictable now and he will do his best to give long-term Tesla shareholders preference.

“As AI gets probably much smarter than humans, the relative intelligence ratio is probably similar to that between a person and a cat, maybe bigger. I think we need to be very careful about the advancement of AI”.

In an interview in April this year, he stated this quote concerning AI and machine learning, he says you cannot teach a self-driving car to identify usual conditions that come intuitively to humans, like spotting a plastic bag accompanying the breeze on a jammed road. Elon Musk says that situations like this are hard to teach to a robot. He alerted us to the progress of AI.

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AI jobs are Growing in Demand. Know which one suits you the best-

Artificial intelligence is taking over the tech space. AI-powered systems and applications are dominating every aspect of our lives. Tech leaders are constantly innovating and implementing AI technologies in business operations to drive growth and enhance customer satisfaction. Owing to the rising demand for artificial intelligence technologies, the tech industry is demanding skilled professionals; who can manage the new techs and help the companies process their operations efficiently. AI jobs have taken a turn and, skilled candidates are flocking towards the tech industry.

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Here are the top 7 AI jobs for individuals interested in pursuing AI careers.

1. Intelligence Designer: Intelligence Designers are AI professionals who decide, manage, and estimate the strategic choices of how, when, and where to develop AI technologies based on complex and large IT systems. An intelligence designer needs to see the bigger picture and localize all the intelligence to understand and curate a strategy for the correct procedure to develop AI systems.

2. Data Evangelist: The role of data evangelism will become crucial for the adoption and growth of AI solutions. Companies soon will invest heavily in data evangelist roles to focus specifically on working across the organizations to educate users about the available AI solutions, the importance of data-driven decision-making, and the different ways to smoothly change the traditional business workflows to take advantage of the emerging technologies.

3. Machine Learning Engineer: The role of a machine learning engineer is currently highly sought after because of the rise in demand for machine learning technologies and programs. This role is compatible with candidates who have a degree in data science. The ML engineer will have to be adept in the various programming languages, as well as in AI programming.

4. Research Scientist: In the AI industry, the role of a research scientist is crucial. A research scientist needs to have a deeper understanding of the multiple disciplines of AI, like computational statistics, machine learning, deep learning, applied mathematics, and other related fields. To get hired for this job, one needs to have extensive knowledge about NLP, graphical models, and reinforcement learning.

5. AI Interaction Designer: An AI interaction designer is responsible for making sure that anything that the AI agents say is responsible, sensible, and coherent to the problem at hand. In the IT industry, there will be a growing need for professionals who can make AI systems usable for the mass audience.

6. Data Curator: A data curator uses self-service data platforms to curate data for different analytical tasks, allocates computational resources for accelerating data analysis, adds semantic data to the data catalog to speed up the analysis of high-value datasets, and blend data sets.

7. Business Intelligence Developer: The primary goal of a business intelligence developer is to analyze complex datasets and identify business and market trends to boost business revenues. The BI developer will use cloud-based data platforms to design, model, and maintain complex datasets. The candidate needs to have experience in data mining, data warehouse design, SQL integration services, SQL queries, and other related fields.

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