At Madhyanchal Professional University, the Bachelor of Technology (B.Tech) program in Data Science offers a specialized undergraduate curriculum focused on foundational topics in mathematics, statistics, computer science, and data analysis. Students learn essential concepts and techniques in data science, including data collection, preprocessing, visualization, analysis, and interpretation, alongside exploratory data analysis, hypothesis testing, regression analysis, and machine learning. Through theoretical understanding and practical application, students delve into supervised, unsupervised, reinforcement, and deep learning, gaining hands-on experience in training and deploying machine learning models using popular frameworks and tools. This comprehensive education equips graduates with the skills needed for diverse roles such as data scientist, data analyst, machine learning engineer, business intelligence analyst, or further academic pursuits in graduate programs
Eligibility
Passed 10+2 examination with physics/maths/chemistry and obtained at least 45% marks in required three main subjects (40% marks in case of candidate belong to SC/ST/OBC[Excluding creamy layer] category of Madhya Pradesh) in the above, subjects taken together.
Admission rules
Admissions in the course will be done on a Merit-basis, based on the marks achieved in the last qualifying exam and as per the eligibility criteria. Scholarships are also available for meritorious students and for those in need of financial aid.
To know more about the admission process please click below:
Curriculum Details
Click on the link below to view the course description and course outcomes
A career in data science presents promising and diverse opportunities across industries. Here's an overview of potential roles:
Data Scientist: Responsible for collecting, cleaning, and analyzing large datasets to derive actionable insights using statistical techniques, machine learning algorithms, and data visualization tools.
Data Analyst: Focuses on interpreting data to provide insights for business decisions, involving data cleaning, statistical analysis, report creation, and communicating findings to stakeholders.
Machine Learning Engineer: Designs, develops, and deploys machine learning models to solve specific problems or automate processes within an organization.
Business Intelligence Analyst: Analyzes data to provide strategic insights and recommendations for improving business performance and decision-making processes.
Data Engineer: Builds and maintains the infrastructure necessary for data generation, storage, and processing, ensuring data accessibility, reliability, and scalability for analytical purposes.
Each role in data science contributes uniquely to leveraging data for informed decision-making and driving business success, reflecting the multifaceted nature and promising prospects of a career in this field.