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Doctorate in Computer Science

Advance your career to the highest level of business leadership. Transform your expertise into strategic impact with our globally recognized program.

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    ๐ŸŽ“ Course Overview

    Doctorate in Computer Science

    The Doctorate in Computer Science at EIMT is a fully online, programme meticulously designed for working professionals who are focusing to advance their expertise without interrupting their careers. Pursuing a Doctorate in Computer Science is a strategic next step for those who wants to ascend to leadership positions.This research-intensive programme offers a comprehensive curriculum that delves into advanced topics such as Artificial Intelligence, Cybersecurity, Distributed Systems, and Data Science. Students engage in a blend of live interactive classes, seminars, and workshops, complemented by self-paced study materials, ensuring a flexible yet strenuous academic experience.

    A standout feature of the Doctorate in Computer Science programme is its emphasis on applied research. Candidates undertake a dissertation based on real-world projects, allowing them to solve pressing problems in the tech industry. Throughout their journey, students receive personalized mentorship from experienced faculty, supporting both academic and professional growth. The curriculum of this programme has been structured to not only elevate technical proficiency but also cultivate leadership and problem-solving skills, preparing graduates for high-level roles in academics, industry and research institutions.

    Program Highlights

    Discover the advantages of Doctorate in Computer Science

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    Career in Doctorate in Computer Science

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    In-Depth Learning

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    Skill Enhancement

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    Professional Growth

    ๐Ÿ…

    GTR Certification

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    Future-Ready Skills

    10+

    Other Benefits

    Step into the world of high-paying careers ๐Ÿš€

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    Course Curriculum

    The course phase comprises the first semester during which scholars begin with foundational modules in research methodology, qualitative and quantitative techniques, and academic writing. During this stage, students identify their dissertation topic and are assigned a supervisor. This phase includes multiple seminars and academic presentations to prepare candidates for independent research.

    This phase usually covers both the second and third semesters of study involving in-depth data collection, analysis, and critical evaluation aligned with the chosen research topic. Candidates submit a detailed synopsis, progress reports, and participate in workshops and research colloquiums to refine their research direction.

    The final stage typically spans from the third semester to sixth semester. It focuses on thesis development, review processes, and dissertation submission. This phase also includes committee reviews, feedback incorporation, pre-submission defence, and culminates in a final viva voce. Students who successfully defend their work are awarded the doctorate.

    Who is this course for?

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    Anyone who wants to learn SAP MM module

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    Other ERP professionals who want to learn SAP MM and become functional experts.

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    IT professionals, software engineers, project managers, and business analysts who want to upgrade their skills to the SAP ecosystem.

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    SAP Supply Chain professionals, software engineers, project managers, and business analysts.

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    Students from arts, commerce and UPSC background can enroll in the SAP Course with ease in Corporate IT Job.

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    Aspiring data professionals looking to master the industry's leading transportation management tool.

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    Students desiring a comprehensive, engaging, and highly interactive approach to SAP MM training.

    Training Delivery

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    Discovery call

    A call to evaluate training requirements and adjust course and delivery accordingly.

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    Tech call with Certified Instructor

    A call with the instructor to address specific queries and requirements.

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    Customized Curriculum

    Tailored curriculum to meet specific learning objectives and needs.

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    Training & LMS Access

    Start training sessions with access to the Learning Management System.

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    Live Training

    Interactive live sessions to enhance learning experience.

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    Hands-on Labs

    Role-based training with practical exercises and labs.

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    Course Materials

    Access course materials anytime through LMS.

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    Progress Metrics

    Track student progress with analytics and reports.

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    Gamified Quiz

    Engaging final quiz to reinforce learning.

    ๐ŸŽ“ Certificate of Completion

    Get a verifiable certificate after successfully completing the training.

    Student Video Testimonials

    Watch real success stories shared by our students.

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    Choose Your Plan

    Start your journey with flexible pricing options

    50% Discount
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    Doctorate in Computer Science

    Live Online

    โ‚น44,250

    โ‚น29,500

    + โ‚น30,000 after placement

    โœ” Live interactive classes

    โœ” Doubt solving sessions

    โœ” Placement support

    50% Discount
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    Doctorate in Computer Science

    Recorded (12 Months Access)

    โ‚น22,499

    โ‚น14,999

    โœ” Recorded lectures

    โœ” Mock tests & question bank

    โœ” Doubt support

    Frequently Asked Questions

    Yes, the DCS programme is delivered 100% online, including live lectures, interactive labs, and dissertation work. This flexible structure allows you to pursue your doctorate without the need for campus visits or travel.

    Absolutely. The programme is specifically designed for working professionals, with sessions scheduled flexibly across various time zones to accommodate your work commitments.

    No, GMAT or GRE scores are not required. Admission is based on your credentials, professional experience, and research proposal.

    You should expect to spend approximately 6 hours per week on coursework, which may include lecture videos, readings, discussions, and assessments.

    You are required to finalise your research topic within 6 months of enrolment, after which you will begin full-time research work.

    Students must conduct original research, defend a thesis in Computer Science, master key areas (algorithms, AI, data science, etc.), and engage in seminars and conferences.

    Students receive guidance from a supervisor, access to an accomplished faculty and global alumni network, and opportunities for professional development.

    Certificate

    Approved Training Partner

    Approved Training partner under the scheme for market-led fee-based services by NASSCOM

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