UNDERGRADUATE PROGRAMS

The Department of Computer Science and Engineering offers a 4-year B. Tech CSE programme in Computer Science and Engineering (Data Science).

This program has been designed to emphasise futuristic technologies such as analysis, predictive modeling, and algorithms. Along with the conceptual knowledge, the courses taught here impart research-driven and industry-led experience in all the domains of computer science.

Eligibility Criteria

• B.Tech. Computer Science Engineering (Data Science) – 4 years

  Class (X & XII) aggregate 60% with (Physics + Mathematics + Chemistry/ Computer Science/ Electronics/ Information Technology/ Informatics Practices) minimum 55%

• Fees:
  

  First Year: 2,13,000

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This is a field that is focused on a computing system’s ability to solve problems, make smart decisions, and complete important tasks. Our interdisciplinary Engineering curriculum emphasise the core areas of data science, including courses in programming, math, statistical modeling, machine learning and data management. Students learn all the aspects of the data science process from data collection and data understanding to model building and model validation and develop communication and critical thinking skills through real world applications.

The specialisation in Data Analytics equips students with the skills to draw out intelligent analysis of data, which is a crucial component in numerous business applications and supporting business decisions.

After completion of an academic programme in computer applications, students will be able to:

• Gain the capacity to use their knowledge of mathematics, computer science and management in real-world situations.
• Apply professional skills in a range of computer applications, computer organizations, and utilize the techniques of network security, information security, cryptography, and web security.
• Communicate more reliably, securely, and effectively with a larger audience.
• Develop their programming skills so they can compete in the global IT industry.

The specialisation in Data Analytics equips students with the skills to draw out intelligent analysis of data, which is a crucial component in numerous business applications and supporting business decisions. These are the main benefits:

• The program is designed to cater to the ever-changing needs and demands of the industry. Data Analysis experts are among the most sought-after professionals in IT sector with demand for skilled technocrats in that field outpacing other IT jobs by a wide margin. Some important components of this program are:
• Data Science principles, tools, and techniques to solve “real world” business problems and suggest suitable solution with relevant findings.
• Recognise issues in everyday business; apply Data Science for better understanding of data-driven management decisions to help get an edge over competition.
• Provide insights into leading analytic practices, design and lead iterative learning and development cycles.
• Produce new and creative analytic solutions, which can become a part of any business’s core deliverables.
• Get insights on how to improve business results by building data-fuelled products.

The faculty at our university has a stellar reputation around the country since they were hand-selected from the best universities. A sizable number of academics with a range of specialisations in computer sciences are currently employed by Amity University Punjab, Mohali. They have a great deal of professional expertise and are extremely qualified. Additionally, they are enthusiastic about teaching. They apply their practical knowledge and creative teaching techniques in addition to their training and expertise.

Data science is among the most promising domains with ample of opportunities across different industries. Some of the data science career opportunities are:

• Marketing Analyst
  The role of a marketing analyst is to assist companies in their marketing division. They analyze and suggest which product to produce in large quantities and which product to discontinue. Monitoring customer satisfaction reports help in improving existing products and services. They decide which products to sell with the targeted customers and at which price.
• Data Architect
  One of the most essential careers in data science is to become a data architect. A data architect designs, develops, and maintains a business’ data management systems. They are responsible for meeting the company’s database requirements and building them in keeping with internal and external regulations.
• Machine Learning Engineer
  One popular role or career in data science, machine learning engineer, is primarily responsible for automating data analysis processes. They design and implement machine learning systems, research and optimise machine learning algorithms, and perform machine learning tests to monitor system performance and functioning. It has emerged as one of the most essential data science careers in recent times.
• Database Administrator
  A database administrator is involved in maintaining and functioning of the organisation’s database system. They are responsible for the safe and secure management and storage of data and develop backups and recoveries solutions. To put it simply, they are responsible for the day-to-day functioning and management of a company’s database system.