Which is better, an MSc in data science or an M.Sc in big data analytics?

Data science has advanced significantly throughout the most recent ten years. Notwithstanding, not many associations have encountered the full business impact or significant advantage from advanced analytics, regardless of interest in data science and ML. The reason? A considerable number of the tools are excessively complicated.

What’s more? Vital ranges of abilities are hard to find. But change is currently in the air. Technology up-gradation in 2021 will altogether affect how data scientists and data analysts work. In the same way, the field of business analytics has improved essentially in the course of the most recent couple of years, furnishing business clients with better insights, especially from operational information stored in value-based frameworks.

First, let us understand what benefit will you get from both the degrees and what skills are required. Then you can decide which path you should take.

Master’s in Data Science

One doesn’t turn into a Data Scientist in an instant. It takes a great deal of learning, experience, and comprehension of the ideas. Before you jump into a decision to turn into a Data Scientist, there are a few inquiries that you need to pose to yourself: Do you cherish numbers, figures, and diagrams? If you don’t care for hanging out with numbers, it might bother you later in your profession. Would you be able to program without trouble? Data Scientists ought to be well-versed with different programming languages like R, Python, and so on. Are you excited to learn from the basics to reach a high-level Data Science job? If you have no involvement with data analysis, you may need to begin from an entry-level. Only when there is an affirmation you can proceed further with your decision.

There are thousands of data science jobs available. All you need to do is acquire and degree or relevant skills to mark your niche in this domain. With a master’s degree in your umbrella, you can work as a data scientist, data engineer, statistician, or data architect. Data scientists are needed in IT, healthcare, government agencies, and even NGOs.

You need to have a basic knowledge of mathematics, statistics, programming languages like R for data Science, python for data science and algorithms. Having a master’s degree in data science will make you employable and allow you to earn a handsome salary in less time. The average data scientist’s salary is ₹698,412. An entry-level data scientist can earn around ₹500,000 per annum with less than one year of experience. Early level data scientists with 1 to 4 years of experience get around ₹610,811 per annum. There is no shortage of good pay in this domain. The only thing that is missing is the supply of proficient Data Scientists.

Besides, it offers you a chance to learn online and upskill your career graph. You can pursue this course without having to leave your studies or job. Online studies are less expensive and more productive.

In short, a Master’s in data science can prove to be beneficial in these uncertain times.

Let’s talk about master’s in Big Data Analytics;

Big Data can help create evolving breakthroughs for businesses that know how to use it wisely. Big Data solutions and Big Data Analytics can not only elevate data-driven decision making, but they also enable your workforce in ways that add value to your business. Besides, It can unleash the genuine capability of data-driven marketing. Dives in client information to make customized items, administrations, offers, limits, and so forth. Works with fast conveyance of items/benefits that meet and surpass customer assumptions. Broadens income streams to help organization benefits and ROI. Reacts to client solicitations, complaints, and questions continuously. Cultivates the development of new business procedures, items, and administrations.

Eligibility criteria for big data analytics;

• Learners should hail from the mathematics, statistics, or CS background with analytical skills.
• Graduates with an average of 60% marks in the IT Field
• Non- IT background students with basic knowledge of math, algorithms, and stats.

The advancements and patterns of business analytics crossing the new technologies, UI design, and framework incorporation are driven by business value. The business value is measured as an improvement towards decreasing the gap between the needs of the business clients and the availability and usability of analytic tools.

Most of these business analytics tools may have been carried out inefficiently and developed for a while now, but they are likely to enlarge more broadly in upcoming years. Specialists in this domain are likely to be in huge demand this year.

If you are planning to take a course in Data Science, Big Data or Data Analytics, then I suggest you check out the PG Program in Data Science offered by RISE WPU. They have launched the PG Program in Data Science that is designed for non-IT background students as well. It is a very cost-effective course that offers Guaranteed Placement Assistance. It would help if you always did a survey or research before enrolling for any course. I did my research, and I am satisfied with my decision.

I don’t have much knowledge about math or statistics. But, the faculty at RISE WPU are very patient. They are giving in-depth details about everything. Even they keep a separate session for our doubts. I recommend this course to all the learners looking out for good ROI in less time.

Best of luck, learners. 😉