A Bachelor in Technology is a 4-year engineering programme. There are various specializations in this degree, and the prominent fields are Computer Science, Data Science, Mechanical, Civil, Electrical, Chemical, and Aerospace. The course covers different fields of engineering and technology. It is particularly meant for students who want to develop skills and pursue a career in data science in India and the core technology and development sectors.

The curriculum includes both theoretical and practical lessons and covers lessons on different software and hardware for the particular specialization. This degree opens up various high-paying job opportunities in both the public and private sectors.

All students who have cleared their Class XII exams (PCM or PCB) can apply for the BTech program. Admission is granted based on the scores in entrance exams. Most colleges go by the results in JEE Main and JEE (Advanced). Some of the top colleges offering BTech programmes are the IITs, NIET, BITS (Pilani), and NSIT, New Delhi.

In this blog, we will explore NIET’s B. Tech Data Science Programme. We will cover the benefits of studying the course at NIET and the college’s placement record for the particular stream.

What is Data Science Engineering?

Data Science Engineering is the study of the practical applications of data collection and analysis. This program covers mechanisms that data scientists use for collecting and validating information collected from large sets of data.

These mechanisms are also applicable in real-world situations. Students who have an aggregate of 70% marks in 10+2 can apply for the course. They should get a minimum of 60% marks in Physics, Chemistry, and Maths. It is mandatory to score 50% in mathematics. Applicants need to clear entrance exams to secure admission in BTech Data Science.

Students with an aptitude for Computer Science and Maths are ideal for enrolling in this programme. The candidate needs to have technical skills and the right attitude. They should also have strong communication and interpersonal skills. Good knowledge of programming languages and statistics also comes in handy while studying data science.

Benefits of Studying Data Science Engineering Programme at NIET

NIET is one of the top 10 private engineering colleges in Greater Noida. The BTech programme in this college is ideal for shaping a good career in data science. It is one of the first institutes to offer a BTech degree in Data Science.

Let us look at some of the key benefits of studying Data Science in NIET.

1. Career-oriented:

The institute offers a four-year undergraduate BTech program in data science. The course has NAAC accreditation and is specifically designed to enable students to build a prospective career in the data science industry.

This degree opens up the following job opportunities:

• Data Architect:

Data architect is concerned with designing, creating, deploying, and managing an organization’s data. They create blueprints for data management systems.

• Financial Modeller:

Financial modeller creates a summary of the company’s expenses and income. Their reports are used to calculate the impact of a future event.

• Data Engineers:

Data engineering involves designing and building systems for collecting, storing, and analyzing data.

• Clinical and Pharmaceutical Data Analyst:

They verify the validity of scientific experiments. Data analysts ensure that processes and protocols are followed as per the regulations so that the quality and efficiency of products can be kept up to the mark.

• Database Administrators:

They ensure databases can be run efficiently. They use specialized software so that data can be organized and stored. This role requires data to be made available to users.

• Business Intelligence Analyst and Statistician:

A BI analyst uses data and other information to help organizations arrive at good business decisions. They use program tools and a data model to visualize and monitor data. This vast scope of employment opportunities is one of the biggest advantages of data science.

2. Interdisciplinary approach:

NIET has put together a course that encompasses data science as an interdisciplinary and problem-solving approach. The students are trained to apply scientific techniques for building business models for analytics. The knowledge of data science helps in the study of statistics, algorithms, and technology. Data science also teaches you coding skills, and that helps in supporting business analytics.

3. Practical knowledge:

The curriculum has been designed in a way that students gain knowledge about various applications that can be built using techniques covered in this program. NIET organizes industry visits so that students can gain first-hand experience of industrial processes. They also get to interact with industry heads during guest lectures and seminars. These events provide the students with a lot of practical knowledge.

4. Strong faculty:

NIET has over 450 faculty members with over 60 Ph.D. holders. The institution has a great infrastructure too and is designed in a way that allows students to get holistic education and overall development.

5. Skill-oriented course:

NIET offers an intensive skill-oriented programme. The course aims to produce graduates who have good theoretical knowledge as well as the required skill set to manage different aspects of creating, managing, processing, and converting data into information. The students of NIET graduate with in-depth knowledge in the area of data science.

6. Detailed study of related topics:

The program provides a deep understanding of a range of related topics.

• Data analytics: It is the science of analyzing raw data to arrive at necessary information based on the figures and statistics available.
• Statistical modeling: It is the process of applying statistical analysis to a particular dataset. This is a mathematical representation of the data that has been put under observation.
• Big data: Big Data is larger and complex data sets that are available from new data sources. Big Data can also be defined by the three V’s: Volume, Velocity, and Variety.
• Machine Learning & Deep Learning: Machine Learning is a branch of Artificial Intelligence that focuses on the use of data and algorithms. It is a technique to imitate the way humans learn and improve their work processes.
• R programming: This is an open-source programming language used for analyzing statistics and graphics. R comes with the Command-time interface. It is widely available across platforms like Windows, Linux and macOS.
• Data mining: It is the process by which companies turn raw data into useful information. This software is used to look for patterns in large amounts of data. Data mining relies on proper data collection, warehousing, and computer processing.
• Visualization:  This is the process of creating interactive visuals with the purpose of understanding trends, variations, and deriving insights. Data Science and Visualization are related to each other and cannot be considered as different entities.
• Business intelligence: It is the method of carrying out descriptive analysis using technology and skills. Business Intelligence deals with the analysis of structured and unstructured data that helps in setting up new and profitable business opportunities.

• Designed with industry collaboration:

Another unique aspect of this course is that the curriculum has been designed in collaboration with the industry to include in-demand tools and technologies. Industry experts have themselves brainstormed while curating the syllabus and the topics to be covered.

• Real-time projects:

The students also get to learn through real-time industry projects sponsored by global leaders in the data science industry. The college also organizes live sessions by industry experts. The students get the opportunity to visit other national and international companies to get practical experience of the processes involved.

• International IT certifications:

The course has received international IT certifications and is supported by several tech majors like Apple, KPTI, Intel, and Salesforce in different projects and innovation labs. NIET organizes several innovation labs to help the students to develop a deeper understanding of various topics. Some of the labs are organized on the use of Big Data Systems, Applied Robotics, Mobile applications, Clinical Research, and Bio-Informatics.

Also read: The role of Data Scientist in 2024

Placement Opportunities for Data Science Engineering Students at NIET

NIET, one of the top engineering colleges in Greater Noida, draws an elite list of companies that take part in the placement rounds for students of BTech Data Science. Most of these companies look for candidates who can be recruited for Data Science engineer jobs. NIET has the record of having the best placement record in the region. The institution invites some of the biggest companies in the sector for taking part in placement drives.

Among the prominent recruiters are:

• Oracle
• Dell
• Tata Consultancy Services
• Samsung
• Vivo
• HCL
• IBM
• Wipro

NIET offers the best placement-related assistance to the students with customised training, modern labs, and the Cambridge English Language Assessment. The institution’s tie-up with Pyramid Finishing School is also an added advantage as students get to learn many soft skills that can prove crucial while appearing for the placement assessment test.

Also read: How Placement Drive at NIET Institute Helps Students to Achieve Job Success 

Come to NIET for the industry-best Data Science degree 

We have now understood the scope of Data Science in today’s world. A degree in this stream expands your employment opportunities and makes you well-equipped for the new world order and the evolving job market. NIET assures you a comprehensive curriculum, industry-best training program, and the best placement assistance.

Explore our data science programme features and secure your admission without further delay.

Apply Now.

Related Blog: Top 12 Reasons to Join NIET Institute for Successful Career Path

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