Big Data & Analytics
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New answer posted
8 hours agoContributor-Level 10
Following are the reasons to consider BTech CSE (Big Data and AI Analytics) course at LPU:
- This course combines Computer Science concepts with specialised knowledge in Data Analytics, Machine Learning, AI, & cloud-based data processing systems.
- With this course, students gain exposure to modern technologies such as:
- Big Data Analytics
- AI
- ML
- Data Engineering
- Data Visualization
- Cloud Computing
- Business Intelligence
- Predictive Analytics
- With this course, students benefit from the following:
- Guest lectures by industry experts
-Technical seminars
- Industry interaction programmes
- Corporate training sessions
- Career guidance workshops, etc.
New answer posted
9 hours agoContributor-Level 10
No, to pursue courses like the Master of Data Analytics at QUT, Indian applicants are not required to show any unofficial or prior knowledge of Stats or Coding for admissions.
Other admission requirements are given below, take a look -
- A relevant UG degree with a GPA of 4.0 on QUT 7.0 GPA
- Having IT, Mathematics or a related quantitative field may be useful for a faster 1.5-year program
- English language proficiency
New answer posted
13 hours agoBeginner-Level 1
Yes, M.Sc. (Data Science) at LPU can be a suitable option for students aiming for careers in Data Analytics, AI, and Business Intelligence. The programme covers key areas such as data analysis, machine learning, programming, and visualization, helping build both technical and analytical skills. Its industry oriented curriculum and practical learning approach can support career readiness and create opportunities across data driven roles in different sectors.
New answer posted
a week agoContributor-Level 9
Choosing the Data Analytics track at Sanskrithi School of Business opens doors to high-demand roles like Data Scientist or Business Intelligence Manager. Since this is a growing field, MBA graduates with these skills are highly sought after by modern tech and consulting firms. The programme teaches students how to use data to solve complex business problems effectively.
New answer posted
4 weeks agoBeginner-Level 2
Heya!! at GLA University Greater Noida ,the curriculum integrates analytics tools practically. Students work with Power BI, Excel, and data visualization tools as part of the subject. There are also certifications students pursue alongside — like Google Analytics — which complement the Business Analytics specialization really well.
New answer posted
a month agoBeginner-Level 1
Yes, data analytics is included in the CSBS program at LPU as part of the industry focused curriculum. The course structure covers areas like data handling, business analytics, programming, database management, and decision making with technology. Some subjects are designed to build analytical thinking along with computer science fundamentals. Students also get exposure to real business case studies and project based learning, which helps in understanding how data is used in companies for problem solving and planning careers in tech and analytics roles.
New question posted
a month agoNew answer posted
a month agoContributor-Level 10
MS in Data Analytics cost in UK is lower compared to universities in other top countries. MS in Data Analytics fees in UK range between INR 22 L - INR 39 L per year. Avg cost of living in UK for Indian students is between INR 1.09L - INR 1.45L per month. It includes expenses such as- housing, food, bills, etc., with London being most expensive than other cities in UK.
New answer posted
a month agoContributor-Level 10
PIBM Pune trains students in Business Data Analytics through a mix of industry‑aligned curriculum, hands‑on tools, and certifications, focusing on data visualization, AI/ML, and decision‑making skills. The training is designed to make students “job‑ready” for analytics roles across finance, marketing, HR, and operations.
How PIBM Trains in Business Data Analytics
1. Curriculum Integration
- Business Analytics is offered as a specialization in PGDM/MBA.
- Courses cover Data Analytics, Artificial Intelligence, Machine Learning, Data Visualization, and Predictive Modeling.
- Training is profile‑oriented, meaning students ar
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