Department of Computer Science & Engineering (Data Science)
The dynamic and transformative journey into the world of data-driven discovery and innovation is Data Science. Data Science is at the forefront of this data revolution, equipping students with the knowledge, skills, and mindset to harness the power of data and drive transformative solutions across various industries. Data science covers a wide range of areas and industries due to its versatility and the ubiquity of data in today's world. Data science plays a critical role in today's data-driven world, where vast amounts of data are generated and collected daily. It is the lifeblood of progress and innovation.
Harnessing its power, understanding its nuances, and extracting meaningful insights are the keys to shaping the future. It is a rapidly growing field, and it offers a wide range of job opportunities like data scientist, data analyst, data engineer, machine learning engineer, and many more across various industries.
Data science is important and valuable in numerous fields and industries due to its ability to extract insights, make predictions, and improve decision-making based on data. Data scientists play an important role in various aspects of business and technology due to their abilities in data-driven decision-making, improving business performance, descriptive and predictive analytics, etc. Indeed, the field of data science is a unique and special one that strikes a delicate balance between creativity and science. Absolutely, the field of data science is expected to continue evolving and expanding, offering even more opportunities in the future.
Email – hoddatasci@mitaoe.ac.in
To nurture pioneering computer science engineers with a specialization in data science through an exceptional educational experience that promotes comprehensive growth, academic brilliance, and innovative thinking, driving technological and societal progress.
- Holistic Development and Academic Excellence: To provide a comprehensive educational framework that combines rigorous academic training with practical, hands-on experience, ensuring students develop a strong foundation in data science principles, methodologies, and applications.
- Innovation and Research: To foster a culture of innovation and research by encouraging students and faculty to engage in cutting-edge projects, interdisciplinary collaborations, and continuous learning, thereby contributing to the advancement of data science and its impact on society.
- Industry Engagement and Societal Contribution: To build strong partnerships with industry leaders and community stakeholders, facilitating internships, workshops, and real-world problem-solving opportunities, ensuring that graduates are well-equipped to meet the evolving demands of the tech industry and contribute positively to societal development.
- Calculus and Differential Equations
- Science of Nature
- Foundations of Computing
- Applied Mechanics
- Design Thinking
- Data Driven Modeling
- Liberal Learning
- Indian Knowledge System (Vedic Mathematics)
- Statistics and Integral Calculus
- Engineering Physics
- Electrical and Electronics Engineering
- Essentials of Data Science
- Data Visualization
- Discrete Structure
- Communication Skills (English/German/Japanese/ French)
- Creative Technologies
Students gain industrial exposure through various internship programs which are as follow:
Summer Internship Program (SIP): Students compulsorily need to undergo SIP after completing their semester VI.
Semester Long Internship Program (SLIP): Selected students undergo SLIP during their semester VIII.
During these internship programs, students are getting internships in renowned industries like industries like Schlumberger India Technology Centre Pvt. Ltd. Tridiagonal solutions Pvt. Ltd. Equinox Software and Services Pvt. Ltd. Anukoolan Solutions Pvt. Ltd. SteepGraph Systems Pvt. Ltd. Genrich Membranes Pvt. Ltd. Henkel Adhesives India Pvt. Ltd. Cognizant Technology Solutions, FluiDimensions Pune, BDB India Pvt. Ltd. etc.
Artificial intelligence evokes images of supercomputer assistants, machines that can think creatively, and, to some, scenes from their favorite sci-fi movie. The reality, despite not being as futuristic, is not far off from this. AI refers to the ability of a computer or machine to mimic the competencies of the human mind, which often learns from previous experiences to understand and respond to
Artificial intelligence evokes images of supercomputer assistants, machines that can think creatively, and, to some, scenes from their favorite sci-fi movie. The reality, despite not being as futuristic, is not far off from this. AI refers to the ability of a computer or machine to mimic the competencies of the human mind, which often learns from previous experiences to understand and respond to language, decisions, and problems. The market for AI technologies is vast, amounting to around 200 billion U.S. dollars in 2023 and is expected to grow well beyond that to over 1.8 trillion U.S. dollars by 2030.
AI comes in many forms
AI is broadly divided into machine learning and deep learning. These then have further subcategories such as natural language processing, computer vision, robotics, and more. Machine learning constitutes the most basic and simple AI form. Programs operating on machine learning are given a very clear set of parameters to use in interactions with humans and are limited in scope. It is also the most common form of AI, used in basic chat assistants, apps, voice commands, and other limited engagements.Deep learning is closer to what a person would imagine from AI. In deep learning programs, AI has initial parameters and datasets but can integrate user information as it interacts with humans. In this way, the AI learns as it is used, becoming more sophisticated in the process. Recent examples of advanced deep learning programs are OpenAI’s ChatGPT and Google’s Bard.
Generative AI has entered the field
A new trend in AI development surged into the limelight at the end of 2022 in the form of generative AI. Although not being strictly new, with such programs already appearing over the last five years, advancement in this field have been staggering. Generative AI refers to programs that can, as the name suggests, generate text, images, music, and more. Driven by the release of ChatGPT-3 in late 2022, the field has drawn in Google, Microsoft, Amazon, and recently, Elon Musk’s X as well. All are competing in the development of the most advanced generative AI through a variety of startup companies. The advancement in this case is not without its flaws as generative AI companies have been accused of training their AI models on copyrighted texts and images, snubbing writers and artists.
The AI train steams ahead
With the advancements in deep learning and machine learning, coupled with the immense effect such programs may have on the global economy, it is to be expected that AI will be in continuous competitive development in all advanced economies. Any company looking to leverage an advantage on its competitors would do well to engage early so as not to be left behind.
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