

BCA in Data Science at Chandigarh University, Lucknow
As the demand for data science professionals increases across various sectors, such as business, marketing, healthcare, and banking, this program is crafted to provide students with the expertise to handle large datasets and drive data-driven decision-making. Graduates will be prepared for diverse roles including data analyst, data scientist, data engineer, and more.
BCA in Data Science Course Details
| Feature | Description |
|---|---|
| Degree Name | BCA in Data Science |
| Duration | 4 Years |
| Course Fee | 150,000 per year |
| Eligibility | 10+2 or equivalent in any stream with at least 50% marks |
| Core Topics | Applied Statistics, Predictive Modeling, Data Mining, Big Data Analytics, Data Visualization |
| Practical Training | Hands-on experience with real-world data challenges |
| Career Pathways | Data Analyst, Data Scientist, Business Intelligence Analyst, Data Engineer, Big Data Analyst |
Eligibility Criteria for BCA in Data Science
To be eligible for admission to the BCA in Data Science program at Chandigarh University, applicants must:
- Have completed 10+2 or an equivalent examination from any recognized board/university.
- Have achieved a minimum of 50% marks in their 10+2 examinations.
The course is open to students from all streams—Science, Commerce, and Arts—provided they meet the eligibility criteria.
Career Opportunities After BCA in Data Science
Graduates of the BCA in Data Science program at Chandigarh University will be well-equipped for a variety of high-demand roles. Data scientists and analysts are highly sought after in nearly every industry, including finance, healthcare, e-commerce, and technology. Some of the key career opportunities include:
- Data Analyst: Analyze large datasets to uncover trends, patterns, and insights that drive business decisions.
- Business Intelligence Analyst: Use data analytics to support decision-making in organizations, providing insights into business performance.
- Data Scientist: Build predictive models and algorithms to solve complex problems using data.
- Data Engineer: Develop and maintain the infrastructure needed to store and process large datasets.
- Big Data Analyst: Focus on analyzing and processing vast amounts of data that cannot be handled by traditional data processing tools.
Industries Hiring Data Science Graduates:
- Finance
- Healthcare
- E-commerce
- Technology
- Retail
- Marketing
The program ensures that graduates are equipped with the practical skills and theoretical knowledge needed to pursue these exciting roles.
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