Admission For 5 Year Programme in Data Science & Artificial Intelligence in Kashmir University

Admission For 5 Year Programme in Data Science & Artificial Intelligence in Kashmir University

5 Year Integrated Masters Programme in Data Science & Artificial Intelligence l Kashmir University

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Masters Programme in Data Science & Artificial Intelligence

Career Prospects in Data Science and Artificial Intelligence


BRIEF INTRODUCTION:

Data science and artificial intelligence are revolutionizing the business world, ranging from small businesses or startups to large multinational companies and even public administrations. The demand for data scientists and AI engineers will grow significantly in the coming years, given the increasing amount of data generated and the need to use this data to solve real-world problems. The World Economic Forum estimates that by 2025, 58 million jobs related to Data Science and Artificial Intelligence will be generated. 

Companies like Google, Microsoft, Amazon, and Facebook have invested heavily in data science and AI. They are looking for skilled professionals to help them develop and deploy machine learning models, build and maintain data pipelines, and analyze data to identify trends and patterns. Data science and AI are skill-based careers, meaning you must constantly learn and update your skills to stay ahead of the curve.

Career Outlook for Data Science Professionals

We are in the middle of the 4th Industrial Revolution (Industry 4.0), mostly driven by Data Science. This ever-growing field involves collecting, analysing, and exchanging lots of data! The demand for professionals for various data science jobs is at an all-time high, as is the supply gap.

BLS suggests that professionals with computer science, Math, and finance backgrounds will have an incredibly powerful advantage to grow in a career in data science.

Connect data sources and automate acquisition mechanisms to update the information repository.

Run processes that clean the obtained data and check for inconsistencies, eliminating redundant and erroneous data and generating summary information across different projects.

Explore data to discover patterns, detect anomalies, test hypotheses, and verify assumptions through different data science tools, statistical formulas, and graphical representations.

Apply different techniques like machine learning, statistical modelling, deep learning, data visualization, and artificial intelligence to draw insights and make predictions useful to achieve long-term and short-term business goals.

Check the findings and predictions obtained in the previous step against reality and present them in a convincing way. This does not require scientific skills but rather the ability to communicate effectively.

Career Trajectories in Data Science and Artificial Intelligence

The future of Data Science and Artificial Intelligence holds a lot of potential. Let’s take a look at some of the popular job profiles in these fields –

Data Science

Data Scientist

Data Architect

Data Science Manager

Principal/Chief Data Scientist

Data Analyst

Data Warehouse Engineer

Business Intelligence Developer

Computer Vision Engineer

ML Specialist

Python Programmer – Machine Learning

Data Scientist – R/Statistical Modelling

Artificial Intelligence

Machine Learning Engineer

Data Scientist – Machine Learning/AI

Senior Business Analyst – Machine Learning

Artificial Intelligence Solution Leader

Lead – Advanced Analytics & Artificial Intelligence

NLP Developer – Machine Learning/AI

Data Scientist (Artificial Intelligence)

Artificial Intelligence/Machine Learning Engineer

Speech Scientist – AI/Machine Learning

Artificial Intelligence/ Machine Learning Lead

AI Scientist – Deep Learning

Business Analyst – Artificial Intelligence

Conclusion

Data science and artificial intelligence have penetrated almost every domain, and it’s high time to decide and make a smart career move to these domains. Companies seek candidates with competencies in core data science and artificial intelligence concepts, statistics, computer science and programming, data structures, algorithms, system design, and storytelling. Having said that, Data science and artificial intelligence are not easy fields, and you must be very persistent to succeed. If you think you have the competencies and enthusiasm to get started with these highly rewarding fields, don’t wait. Take some data science and artificial intelligence courses to have an edge over your competition.