{"id":4661,"date":"2021-01-20T05:59:04","date_gmt":"2021-01-20T05:59:04","guid":{"rendered":"https:\/\/techclot.com\/index.php\/2021\/01\/20\/how-an-m-tech-in-data-science-machine-learning-can-give-your-career-aboost-great-learning\/"},"modified":"2021-01-20T05:59:04","modified_gmt":"2021-01-20T05:59:04","slug":"how-an-m-tech-in-data-science-machine-learning-can-give-your-career-aboost-great-learning","status":"publish","type":"post","link":"https:\/\/techclot.com\/index.php\/2021\/01\/20\/how-an-m-tech-in-data-science-machine-learning-can-give-your-career-aboost-great-learning\/","title":{"rendered":"How an M-Tech in Data Science & Machine Learning can give your career aboost: Great learning …"},"content":{"rendered":"

How an M-Tech in Data Science & Machine Learning can give your career aboost: Great learning …<\/a><\/p>\n

We successfully made it through 2020 and 2021 is finally upon us. While some things, like the way businesses operate, have changed drastically, others remain the same. In the current times, companies are increasingly going online and operating with newer tech solutions to keep up with the changes that the pandemic has brought about in the market.<\/p>\n

Companies across the world are adopting Data Science and Machine Learning to understand complex business problems, extract meaningful insights and formulate ways to resolve them. They\u2019re being used across several sectors and for diverse use cases. These can be anything from banking & finance departments using machine learning algorithms to identify forged signatures to supply chain and manufacturing companies using it for smarter inventory management. In the same vein, airline companies are using data science to map flight delay and develop loyalty programs, and the gaming industry is applying it to improve gaming models based on insights.\n<\/p>\n

It is no wonder then that the jobs that require these skills are booming by the year. According to a recent LinkedIn report hiring for the roles of Data Scientist, Data Science Specialist, Data Management Analyst has gone up by 49% since 2019. The same report states that hiring for the roles of Machine Learning Engineer and Machine Learning Researcher grew 32% from 2019 to 2020. This makes them some of the fastest-growing, in-demand jobs of the past year and the next few years to come.<\/p>\n

These job roles offer some of the highest salaries. Therefore, many engineering graduates in India are interested to pursue their M. tech in Data Science and Machine Learning. The salary scale in this domain ranges from Rs 4 Lakhs per annum to Rs 25 Lakhs per annum, considering various factors. In India, the average pay scale of a Data Scientist is estimated to be Rs 7 Lakhs per annum. Hence the incredible demand. Check out all the lucrative roles you can bag with these skills:\n<\/p>\n

1. Data Analyst
<\/strong>As a data analyst, you will be responsible for various tasks, including visualisation, munging and processing of massive amounts of data. You will also have to perform queries on the databases from time to time. One of the most important skills to gain for you, as a data analyst would be optimisation. This is because you will have to create and modify algorithms that can be used to cull information from some of the biggest databases without corrupting the data.\n<\/p>\n

2. Data Engineers
<\/strong>As a Data Engineer, you build and test scalable Big Data ecosystems for the businesses so that the data scientists can run their algorithms on the data systems that are stable and highly optimised. You will also update the existing systems with newer or upgraded versions of the current technologies to improve the efficiency of the databases.\n<\/p>\n

3. Database Administrator
<\/strong>Your job profile is pretty much self-explanatory: You will be responsible for the proper functioning of all the databases of an enterprise and grant or revoke its services to the employees of the company depending on your requirements. You will also be responsible for database backups and recoveries.\n<\/p>\n

4. Machine Learning Engineer
<\/strong>As a Machine Learning Engineer, you will be in high demand today. However, the job profile comes with its challenges. Apart from having in-depth knowledge in some of the most powerful technologies such as SQL, REST APIs, etc., you would also be expected to perform A\/B testing, build data pipelines, and implement common machine learning algorithms such as classification, clustering, etc.\n<\/p>\n

5. Data Scientist
<\/strong>You have to understand the challenges of business and offer the best solutions using data analysis and data processing. For instance, you are expected to perform predictive analysis and run a fine-toothed comb through an \u201cunstructured\/disorganised\u201d data to offer actionable insights. You could also do this by identifying trends and patterns that can help the companies in making better decisions.\n<\/p>\n

6. Data Architect
<\/strong>As a Data Architect, you create the blueprints for data management so that the databases can be easily integrated, centralised, and protected with the best security measures. You must also ensure that the Data Engineers have the best tools and systems to work with. Some other related job roles worth mentioning include Statistician, Business analyst, Data and Analytics Manager.\n<\/p>\n

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For those who\u2019d love to upskill, Great Learning has emerged as one of India\u2019s leading professional learning services with a footprint in 140 countries and has delivered 55 million+ learning hours. With a curriculum formulated by industry experts, their programs have helped learners successfully transition to new domains and grow in their fields. They offer courses on some of the hottest topics of today \u2013 Data Science and Machine Learning, Artificial Intelligence etc.\n<\/p>\n

The M.Tech in Data Science and Machine Learning program is being offered in collaboration with Karnataka\u2019s #1 university (*KSURF) PES, Bengaluru. This has become one of the most sought-after courses among professionals for the following reasons:
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