B.E in CS&E Data Science
Overview
Data science has been a wedge of various industries in India, ranging from healthcare to energy, and has brought a magnificent change in the world. Data Science helps companies and industries make data-driven decisions, analyze market trends, make careful decisions to minimize losses, and maximize profits. It is one of the highest-paid jobs in India as well as the world. Data is the new driving force behind industries and around 1.5 lakh jobs are vacant in the field of emerging technologies like Artificial Intelligence (Al) and Data Science. Companies like Accenture, Amazon, KPMG, Honeywell, Capgemini, IBM, Panasonic, etc. are among few leading companies, which have been hiring the highest number of data science professionals. If you want to gain skills and learn everything about data from basic to advanced with the industry level experienced trainers, then you should learn from us and get well prepared for the future.
Career Opportunities
With this degree, you can be :
- Data Scientist
- Data Engineer
- Data Analyst
- Machine Learning Engineer
- Data Journalist
- Database Admin
- Financial Analyst
- Business Analyst
- Product Analyst
Typical Course Content
The course spans over 4 years and the syllabus is divided into 8 semesters. The curriculum takes you through in-depth understanding of the theoretical concepts in statistics, data analysis, data mining, machine learning and other advanced data science techniques. It will help you gain practical experience in programming tools for data sciences, database systems, machine learning and big data tools. Students after completing this program will be able to apply a set of data science principles, tools and techniques to model various real world business problems, analyse them, and suggest a suitable solution by communicating relevant findings and effectively presenting results using appropriate data visualization techniques.
The AMC Difference
AMC brings you the all-inclusive data science degree course which will introduce the student through every stage of the Data Science circle. This course will equip the students with logical and relevant programming abilities to build database models. They will be able to create simple machine learning algorithms like K-Means Clustering, Decision Trees, and Random Forest to solve problems and communicate the solutions effectively. The course focuses on preparing swift solutions to data circled problems for easy, prompt and systematic administration of wide and fast-flowing data. Students gain exposure to research models and industry-standard applications in data science through guest lectures, seminars, projects, internships, etc.
