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New answer posted
3 months agoContributor-Level 10
Yes, BSc admission at Parul University are open for academic year 2026. If chosen BSc course admits candidates on merit-basis, applications can be completed as soon as Class 12 board exam results are out.
Candidates who want to apply for BSc courses with entrance based admission must have a score in one of its accepted entrance exam when applying.
New answer posted
3 months agoContributor-Level 10
No, GRE/GMAT score are generally not required for most of the MS Courses but the English Proficiency test scores are a must have for the entry requirement and selection criteria. The students applying for MS courses at University of Auckland must also have at least a 5.0 GPE at a 9.0 Grade Scale.
New answer posted
3 months agoContributor-Level 10
No, GRE/GMAT score are generally not required for most of the MS Courses but the English Proficiency test scores are a must have for the entry requirement and selection criteria. The students applying for MS courses at University of Auckland must also have at least a 5.0 GPE at a 9.0 Grade Scale.
New answer posted
3 months agoContributor-Level 10
The University of Auckland has been ranked greatly. It has been ranked by many highly acclaimed bodies such as Shiksha's popularity Ranking, QS and THE (Times Higher Education). According to AWRU, the University of Auckland has been ranked #401 for the years 2024 and 2025.
New answer posted
3 months agoBeginner-Level 1
Mujhe bsc nursing krni h mujhe puri fees + hostel + extra charges milkr pure 4 saal ka total bta dijiye
New answer posted
3 months agoContributor-Level 10
Yes, entrance exam is require for admission in UPES Bsc programme. UPES BSc admissions is both merit and entrance-based. Candidates are shortlisted for the BSc programme based on their performance in the last qualifying exam and entrance scores in CUET and personal interview.
New answer posted
3 months agoBeginner-Level 1
For students aiming for a career in interior design, M.Sc. (Interior and Furniture Design) at LPU can be a suitable option. The curriculum focuses on space planning, furniture design, design software, materials, and practical projects. Industry exposure through workshops and design activities helps students understand real work requirements. The programme also supports portfolio development, which is important for career opportunities in interior design and related creative fields.
New answer posted
3 months agoBeginner-Level 1
Yes, the M.Sc. (Data Science) programme at LPU includes topics related to Machine Learning and Artificial Intelligence as part of its curriculum. The course generally focuses on data analysis, predictive modeling, machine learning techniques, AI fundamentals, programming, and big data tools. The curriculum is designed to help students build practical skills through projects and industry oriented learning. These areas are useful for careers in Data Analytics, AI, Business Intelligence, and related technology fields.
New answer posted
3 months agoBeginner-Level 1
From the curriculum details available, M.Sc. (Data Science) at LPU covers tools and technologies used in modern data analysis and AI. Students learn programming with Python, database management using SQL, machine learning, data visualization, big data concepts, statistical analysis, and AI applications. The curriculum also includes hands on projects, industry oriented learning, and practical exposure to analytics tools, helping build skills for careers in Data Analytics, Business Intelligence, and Data Science.
New answer posted
3 months agoBeginner-Level 1
From the curriculum details available, M.Sc. (Data Science) at LPU covers tools and technologies used in modern data analysis and AI. Students learn programming with Python, database management using SQL, machine learning, data visualization, big data concepts, statistical analysis, and AI applications. The curriculum also includes hands on projects, industry oriented learning, and practical exposure to analytics tools, helping build skills for careers in Data Analytics, Business Intelligence, and Data Science.
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