4 Years
course - Approved by
AICTE
SAITM offers a Bachelor of Technology (B.Tech) course in Data Science designed to provide students with the skills and knowledge to analyze, interpret, and utilize data to solve complex problems. The program, which typically lasts four years, combines a strong foundation in mathematics, computer science, and statistics with specialized training in data science techniques and tools.
The SAITM curriculum includes fundamental courses in programming, algorithms, data structures, and database management systems. These foundational subjects prepare students for more advanced topics specific to data science. Key areas of focus include data mining, machine learning, big data analytics, data visualization, and statistical modeling. Students learn how to process and analyze large datasets, extract meaningful insights, and build predictive models.
Practical experience is integral to the B.Tech Data Science program. Students engage in laboratory work, projects, and internships, allowing them to apply theoretical knowledge to real-world data problems. They gain hands-on experience with data science software and tools such as Python, R, SQL, and Hadoop.
The program also emphasizes the importance of soft skills and ethical considerations in data science. Courses on communication, data privacy, and the ethical implications of data analysis ensure that graduates can effectively communicate their findings and make responsible decisions in their professional practice.
B.Tech in Data Science are well-prepared for a range of career opportunities across various industries, including technology, finance, healthcare, retail, and government. They can pursue roles such as data scientist, data analyst, business analyst, data engineer, and machine learning engineer. The program also provides a solid foundation for those interested in pursuing further studies or research in data science.
Eligibility Criteria for Data Science Program
The "Admission Eligibility" for the computer science engineering courses at SAITM is as follows:
- Minimum 45% in Physics, Chemistry & Maths in 12th Standard. If you are a candidate falling under one of the reserved categories, the minimum marks required for seeking admission to a computer science and engineering course is 40%.
- Students with Mathematics, Chemistry, Physics, Biology/Computers as the core subjects in class 12 from a recognized board can get a seat at the institute.
- An impressive & valid score in JEE Main.
Program Objectives
The primary objectives of the BTech - Computer Science Engineering in Data Science program at SAITM are:
- Develop Core Competencies: Provide a robust foundation in computer science principles, algorithms, and programming languages.
- Master Data Science Techniques: Equip students with the ability to analyze, interpret, and visualize large datasets using state-of-the-art data science tools and methodologies.
- Promote Critical Thinking: Cultivate analytical and problem-solving skills necessary to address complex real-world challenges.
- Prepare for Industry Demand: Ensure graduates are industry-ready with hands-on experience and knowledge of the latest technological advancements in data science.
Goals of Data Science Department at SAITM
- To educate Data Science students about different aspects of machine learning algorithms and some technologies based on problem-solving and processing models.
- To help students understand and design the data models and programs in various programming languages.
- To escort them become skilled data science professionals who can respond to the evolving industry in a social and global context by applying learned engineering fundamentals to tackle real-world problems.
- To enable the graduates of the AIML program to be effective team workers, understand the principles of group dynamics, public policy, aesthetics, and develop cost-effective solutions for the businesses.
- To facilitate Data Science students to gain hands-on experience in the latest tools, technologies, and programming languages.
- To enable students to apply basic principles and practices of Data Science grounded in mathematics and science for meeting the objectives of businesses.
Curriculum
The curriculum is meticulously designed to offer a balanced mix of theoretical knowledge and practical experience. Key courses include:
- Introduction to Computer Science: Fundamentals of computing, programming, and algorithm design.
- Data Structures and Algorithms: In-depth study of data organization, manipulation, and efficient algorithmic solutions.
- Database Management Systems: Concepts of database design, management, and SQL.
- Machine Learning: Techniques and applications of machine learning algorithms.
- Big Data Technologies: Tools and frameworks for handling and processing large datasets.
- Data Visualization: Methods and tools for visualizing data to derive insights.
- Artificial Intelligence: Study of AI principles and their applications in data science.
Takeaways of Data Science Program
- Data Science Knowledge: Apply fundamentals of mathematics, computer programming, computer science, and many processing tools to solve complicated data science problems.
- Design/Development of Solutions: Provide effective solutions to machine learning problems by using complex algorithms which can further be used in highly stable multinational companies that add to the wellbeing of society.
- Social Responsibilities: Implement learned skills to assess societal, healthcare, safety, legal and cultural issues and look for the appropriate measures to deal with the same.
- Environment and Sustainability: Understanding the significance of engineering in creating an eco-friendly environment and taking part in sustainable development for the betterment of society.
- Ethics & Values: Computer Science Engineering students are taught to hold high values as professionals and stay loyal to the profession while stepping into different managerial roles.
- Individual and Teamwork: Able to work effectively as an individual and in a team as well.
- Effective Communication: Data Science course at SAITM focuses on enhancing students’ communication skills, ability to comprehend and write effective reports, and design documentation for businesses and organizations.
- Life-Long Learning: Data Science graduates are trained to develop an ability to engage in independent and life-long learning in the broadest context of technological changes.
Why Choose SAITM For Computer Science Engineering Course?
- Best-in-class & top-notch education quality
- Exemplary placements
- Maximum industry exposure
- Great focus on practical knowledge and hands-on experience
- Technologically-advanced teaching methods
- Industry experienced teaching faculty
Career Opportunities
The US Bureau of Labor Statistics reports that demand for data science skills will boost 27.9 percent employment growth in the sector by 2026. Not only is there a huge demand, but there is also a significant shortage of trained data scientists.
Some of the most sought after profiles in Data Science are listed below:
- Data Scientist.
- Data Analyst.
- Mechanical Learning Engineer.
- Business Intelligence Analyst.
- Enterprise Architect.
- Data Engineer.
- Data Product Engineer.
Facilities and Resources
SAITM provides state-of-the-art laboratories and research centers equipped with the latest tools and resources necessary for students to excel in their studies. Students have access to:
- High-Performance Computing Labs: Equipped with the latest hardware and software for data processing and analysis.
- Research and Development Centers: Opportunities to engage in cutting-edge research projects.
- Industry Collaborations: Partnerships with leading companies for internships, projects, and placement opportunities.