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Since we all know that the world is becoming intelligent day by day—gracias to Artificial Intelligence (AI) and Data Science. From smart apps to robots, and from suggestions on Netflix to traffic lights—AI and Data Science are omnipresent around us. Both these technologies are transforming the way businesses are being conducted and the manner in which we live our lives. Hence, it is no wonder that most students today are joining BTech in Data Science & AI courses right after Class 12.
In this era of technology, AI and Data Science engineering are among the top preferred career paths among students, especially science students. They are in demand in every industry i.e. in healthcare, financial industries as well as entertainment industries, and are looking for professionals who can manage data and develop smart systems.
That is equated to high-paying salary packages, and thus BTech in Data Science emerge as the highest-paying professions in the technology sector. These fields have international career prospects, and career opportunities abound in the leading nations such as the USA, UK, Germany, Canada, Singapore, etc.
What enhances these subjects even more is the thrill of the job—picture developing intelligent assistants such as Alexa, autonomous cars, health predictive software, or artificial intelligence-powered robotics.
Lastly, AI and Data Science engineering keep changing, and therefore working professionals in these fields are acquiring new skills, finding new trends, and staying on top in an ever-evolving environment.
Graduates of an AI and Data Science engineering course have an enormous list of career opportunities across emerging fields. Not only do these jobs allow one to work on the cutting edge of technology, but they also entail deep career growth in constantly evolving fields.
AI Engineers design intelligent systems emulating human decision-making, and these can find applications in many fields including healthcare, finance, and entertainment.
Machine Learning Engineers develop algorithms to make machines learn and improve, while NLP Engineers develop voice assistants and chatbots to understand human language.
Computer Vision Experts make machines understand visual data for use in facial recognition, among other applications, while Robotics Experts combine AI with robots for autonomous machinery.
AI Research Scientists improve AI by developing new models and optimizing existing ones.
In the realm of AI and Data Science engineering, Data Scientist, Data Analyst, and Business Intelligence Analyst work to analyze and interpret data so that organizations can make decisions based on data.
Data Engineers design the infrastructure for processing big data, and Predictive Modelers forecast future trends using advanced statistical techniques.
Big Data Analysts expertise in analyzing large data sets from various sources, and Machine Learning Engineers in Data Science apply algorithms to implement on actual-world data for applications in fraud detection and predictive analysis.
Both are highly in demand and are leading drivers of innovation across sectors.
BTech in Data Science & AI graduates have an immense array of career opportunities across industries. The demand for smart technology and big data professionals is growing at a rapid rate, and firms are recruiting professionals to automate and create workflows. Career opportunities span across industries such as:
Tech & Software: Google, Microsoft, and Amazon are major recruiters for AI and data professionals.
Healthcare: AI enhances diagnosis, medical imaging, and patient care through predictive analysis.
Finance: AI has a deep intervention in detecting fraud, credit scores, and machine-based trading.
E-commerce: Flipkart and Amazon are some examples of operators applying AI for recommendation engines and sales prediction.
Education & EdTech: AI offers personalized learning and tracking of the performance of students.
Government & Policy: AI is utilized in the development of intelligent cities and public data analysis.
Startups & MNCs: Multinational companies and new companies need AI engineers and data scientists.
AI and Data Science professionals are much in demand all over the world. The most lucrative job opportunities are available in the following best countries:
USA – Where you find the top tech giants and AI research facilities.
UK & Canada – Where cash is seriously being invested in AI research and digital disruption.
Singapore & UAE – Racing fast to become smart cities and AI-based business hubs.
Germany – Industrial process automation and AI research leader.
Besides that, remote job opportunities are flourishing. With companies worldwide adopting flexible work timings, AI and Data Analytics experts can now work from home, and it becomes easier to get global jobs at home.
For the UG course in AI and Data Science, the candidates must successfully clear class 12 as per eligibility defined with PCM (50–60% PCM is required in all colleges).
Indian universities are based on scores in entrance exams like JEE, and CUET, or private ones like VITEEE and BITSAT.
Direct admissions are conducted by some private universities.
International universities require good academic percentages, SAT/ACT, and English proficiency tests like IELTS/TOEFL.
For studying Data Science or AI courses abroad, you will need:
SAT or ACT: For the admission to undergraduate courses, mostly in the U.S.
IELTS or TOEFL: For determining English language proficiency.
AP Calculus or Math Level 2 (optional): For high-end universities.
Passing these tests will enable you to take the first step towards a career in AI and Data Science, either in India or abroad.
Studying AI and Data Science engineering at NIIT University is about being part of a learning culture that looks towards the future and integrates academia with real-world industry experience. With an industry-guided curriculum, NU offers experiential learning in the form of live projects, state-of-the-art labs, and mentorship by industry experts.
Students gain hands-on experience in environments like Python, R, and AI and are provided with one-to-one guidance, internships, and best placement support. If you aspire to use intelligent technology to solve real-world problems, the perfect stepping stone for your Data Science and AI career is NIIT University.
It is easy and convenient to apply for NIIT University. Start by filling up the online application form at www.niit university.in . Upload Class 10th and Class 12 marks sheets, and then experience NU’s unique Admission Interaction Process (AIP) that evaluates your interest and aptitude.
Subject to your performance, you will be provided Provisional Admission, which is confirmed at the time of your announcement of Class 12 board results. You need to have 60% in PCM (Physics, Chemistry, and Mathematics), and even though entrance tests like JEE, CUET, or BITSAT are not a requirement, they will be a plus in your application.
Class 12 students can choose AI and Data Science engineering as a future profession that can yield future-proof, promising careers. Both are viable for those having a passion for making machines smart or revealing mysteries hidden in the data to carve out a rewarding, global, and meaningful career.
With rising demand for experts in AI and Data Science Engineering, this program offers a future-ready and extremely relevant blend of algorithms, machine learning, and real-world analytics.
Apply now for NIIT University’s BTech in Data Science & AI
For details visit www.niituniversity.in or schedule a free counseling session.
