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Learn All you need to know about MS / M Eng. in Data Science. See top colleges, jobs, part-time jobs, specialisations, fees, admissions & more
Machine Learning is aimed at the automation of decision making. It rests on the theoretical premise that computer and AI systems can identify patterns of data and make useful decisions on their own. It is based on powerful algorithms that are aimed at anticipating repeated patterns and taking actions accordingly. A Machine Learning program is based heavily on training in complex algorithms. Data mining and analysis are aspects that would be touched upon in the coursework. Deep learning, pattern recognition and behavioural imaging are other important components. The coursework can be considered complete if it covers probabilistic graph models and stochastic modelling. Machine Learning experts are absorbed by leading tech companies as Machine Learning Developers and Machine Learning Engineers. They often work in close coordination with Data Scientists and Artificial Intelligence Engineers.
A master’s in Data Science with a specialization in Artificial Intelligence (AI) trains the students in developing systems that can respond to newer and more complex situations. AI is aimed at replacing human thinking in analysis and decision making so that human intellectual energies can be devoted to higher-order-thinking tasks. Some of the main components of the coursework include probabilistic modelling, knowledge representation, natural language processing, deep networks, logic programming, cognitive computing and agile software systems. AI experts find jobs as AI consultants and experts. They may also be hired as robotics programmers and video game programmers.
Business Analytics involves the use of Data Science for solving critical problems faced by businesses. The predictive use of data analysis lies at the core of this specialization. It trains the students to use advanced methods, techniques and software to maximize financial performance, aid strategic management of business processes and induce operational efficiency in day-to-day activities. The most important course components include enterprise analytics, customer analytics, optimization methods and analytics software (R, Python, SQL etc.). Master’s graduates in Data Science with Business Analytics specialization are hired as Business Analysis Manager, Quantitative Analyst, Business Data Analyst, Operations Research Analyst, Market Research Analyst and Financial Analyst etc.
A master’s program in Data Science with a specialization in Big Data is aimed at creating experts that can identify, manage and analyze huge volumes of data by creating relevant tools that work with it so as to produce knowledge. This meaningful information is then used to improve outputs and make the functioning of processes efficient. Big Data experts have to deal with huge databases. The essential course components of a Big Data specialization include analysis of scalability of algorithms, data warehousing, online analytical processing, big data programming models, visualization of data, social media analysis, distributed algorithms, data mining, scalable machine learning and cloud computing. Big Data experts are employed as Management Analysts, Operations Research Analysts, Business Analysts and Data Modelers.
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