Tell me about LPUs B.Sc. Hons Statistics programme in tie-up with IBM.

<p>Lovely Professional University (LPU) offers a B.Sc (Hons.) Statistics programme in collaboration with IBM. This partnership aims to bridge the gap between academic learning and industry requirements, ensuring students are well-prepared for the corporate world.&nbsp;</p><p><strong>Duration:</strong>&nbsp;3 years</p><p><strong>Eligibility:&nbsp;</strong>Pass with 60% aggregate marks in 10+2 (with Mathematics or Statistics) or equivalent.</p><p><strong>Tuition Fees:</strong> Approximately INR 2.40 Lacs per year.</p><p><strong>Curriculum</strong>: The programme combines traditional theoretical methods with modern statistical tools and techniques. It includes subjects like Probability, Statistical Inference, Regression Analysis, and Data Analytics.</p><p><strong>Industry Exposure:</strong>&nbsp;The tie-up with IBM provides students with opportunities for internships, live projects, and workshops conducted by industry professionals.</p><p><strong>Career Prospects:&nbsp;</strong>Graduates can pursue careers as statisticians, data analysts, research analysts, and data scientists in various industries including IT, finance, healthcare, and market research.</p><p><strong>Reason to Choose This Program</strong><br><strong>Industry-Relevant Skills:</strong>&nbsp;The programme is designed to equip students with skills that are in high demand in the job market.</p><p><strong>Hands-On Learning:&nbsp;</strong>Students get hands-on experience through internships and live projects.</p><p><strong>Networking Opportunities:</strong>&nbsp;The collaboration with IBM opens doors to networking with industry professionals and potential employers.</p>

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<p>Lovely Professional University (LPU) offers a B.Sc (Hons.) Statistics programme in collaboration with IBM. This partnership aims to bridge the gap between academic learning and industry requirements, ensuring students are well-prepared for the corporate world.&nbsp;</p><p><strong>Duration:</strong> 3 years</p><p><strong>Eligibility: </strong>Pass with 60% aggregate marks in 10+2 (with Mathematics or Statistics) or equivalent.</p><p><strong>Tuition Fees:</strong> Approximately ?2.40 Lacs per year.</p><p><strong>Curriculum</strong>: The programme combines traditional theoretical methods with modern statistical tools and techniques. It includes subjects like Probability, Statistical Inference, Regression Analysis, and Data Analytics.</p><p><strong>Industry Exposure:</strong> The tie-up with IBM provides students with opportunities for internships, live projects, and workshops conducted by industry professionals.</p><p><strong>Career Prospects: </strong>Graduates can pursue careers as statisticians, data analysts, research analysts, and data scientists in various industries including IT, finance, healthcare, and market research.</p><p><strong>Reason to choose This Program</strong><br><strong>Industry-Relevant Skills:</strong> The programme is designed to equip students with skills that are in high demand in the job market.</p><p><strong>Hands-On Learning: </strong>Students get hands-on experience through internships and live projects.</p><p><strong>Networking Opportunities:</strong> The collaboration with IBM opens doors to networking with industry professionals and potential employers.</p><p>&nbsp;</p>

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Constructing basic statistical aptitude for crafting researchers and scientists of tomorrow for addressing the needs of the next century. To Bridge the gap from campus to the corporate world and to upskill the minds according to the needs of industry and academia, LPU offers B.Sc (Hons. ) Statistics in tie-up with IBM. Programme provides the knowledge of traditional theoretical methods in support of modern statistical tools. LPU has joined hands with the tech giant IBM to integrate the emerging technologies with the experiential learning at undergraduate level which includes the access to enterprise software, delivery by IBM designated experts, real time industry case study and research methodologies. In addition to applied and theoretical aspects of statistics, the curriculum lays a strong foundation in other domains, such as mathematics, computers and data analytics. A broad base of training in the important areas of statistics, data analytics and mathematics will allow the student to successfully progress into professional employment, academics and research. The eligibility for the programme is Pass with 90% aggregate marks 10+2 (with English and Maths) or equivalent or Pass with 60% aggregate marks in 10+2 (with English and Maths) or equivalent, subject to qualifying LPUNEST The programme covers the pertinent topics such as ACTUARIAL STATISTICS, CLINICAL TRIALS AND EPIDEMIOLOGY, Economterics, Financial Statistics, GEOSTATISTICS, STOCASTIC PROCESSES AND QUEUING THEORY, SURVIVAL ANALYSIS, TIME SERIES ANALYSIS

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