As companies continue to rely more on data to run their operations, universities are adjusting their courses to match industry needs. Chandigarh University, Uttar Pradesh (CU Unnao) has introduced a BCA in Data Science (Hons) program developed with support from analytics company SAS.
The move reflects a wider shift happening across industries and Chandigarh University, Uttar Pradesh (CU Unnao) is responding to this trend. Banks are using data to detect fraud faster. Online retailers track customer behaviour before planning inventory. Hospitals are studying patient patterns to manage resources. In simple terms, data is now part of daily decision-making in most organisations.
Because of this, demand for trained professionals in analytics and artificial intelligence has grown steadily over the last few years.
What the Program Looks Like
The course runs for four years and is divided into eight semesters. Instead of waiting until the final year, students begin working with technical tools early in the program.
Some of the main academic components include:
- Access to analytics labs throughout the course
- Training sessions conducted by industry professionals
- Preparation for certification exams
- Practical assignments using real datasets
- Placement training built into the curriculum
The focus is simple - give students exposure to tools they are likely to use in real workplaces.
Tools Students Will Work With
Data science relies heavily on software and programming environments. During the degree, students are introduced to commonly used technologies.
Key tools covered in the program include:
- SAS Viya
- SAS Visual Analytics
- Machine learning systems
- Python programming
- R programming
- Cloud computing basics
- Big data processing tools
These tools are already used in sectors such as finance, healthcare, logistics, and e-commerce.
Why Data Science Jobs Are Growing
Data is being generated at a much faster rate than before. Every online transaction, mobile payment, and digital service creates information that companies want to analyse.
Here are a few everyday examples:
| Industry | How Data Science Is Used |
|---|---|
| Banking | Detecting suspicious transactions |
| Retail | Suggesting products to customers |
| Healthcare | Predicting patient demand |
| Airlines | Adjusting ticket prices |
| Insurance | Estimating risk levels |
This is one of the reasons universities are expanding programs in analytics and artificial intelligence.
Certification During the Degree
Students in the program can attempt professional certifications while studying. These are intended to show practical knowledge of analytics tools.
Support provided typically includes:
- Training sessions before certification exams
- Practice assessments
- Access to testing facilities
- Digital certification credentials
Many employers look at certifications as proof of hands-on technical skills.
Career Roles After Graduation
Graduates from data science programs usually work in technology-driven environments where data analysis is part of daily operations.
Common job roles include:
- Data Scientist
- Business Intelligence Analyst
- Machine Learning Engineer
- Data Engineer
- Risk Analyst
- AI Application Developer
These roles are not limited to one industry. They appear in finance, healthcare, IT services, logistics, and digital platforms.
Admission Steps
The admission process follows a standard sequence.
Step-by-step process:
- Create an account on the CUCET admission portal using basic personal details
- Complete the application form for the selected programme
- Appear for the CUCET examination to become eligible for scholarships
- Choose the preferred campus location (Mohali or Unnao)
- Confirm admission after result declaration
Scholarships may be offered based on academic performance and entrance test scores.
Programme Objective and Industry Alignment
The introduction of the BCA in Data Science (Hons) with SAS at Chandigarh University, Uttar Pradesh reflects the growing emphasis on practical, industry-linked education in analytics and artificial intelligence. The programme combines academic coursework, certification opportunities, and technical training to prepare students for data-driven roles in modern organisations.
For students planning careers in analytics, AI, or data engineering, structured programmes with integrated industry exposure are becoming an increasingly common pathway into the technology workforce.
