Daniel Gutierrez, managing editor of inside BIGDATA, told Forbes, “The word on the street is there’s definitely a shortage of people who can do data science.” If you have a passion for computers, math, and discovering answers through data analysis, then earning an advanced degree in data science or data analytics might be your next step.
Data Science are one of the most comprehensive and state-of-the-art courses to professionals and fresher’s, delivered by highly experienced faculty from SAITM. It is the perfect blend of academic rigor and significant industry exposure to equip you with remarkably advanced knowledge and futuristic skills. Computer science engineering courses offer a good mix of 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.
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.
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.