Tips and Tricks to Solve Logical Reasoning Questions

Logical reasoning tests your ability to analyze information, recognize patterns, and draw valid conclusions. Here are some effective strategies to tackle such questions:


1. Understand the Question Type

Logical reasoning questions come in various forms, including:

  • Deductive Reasoning (Syllogisms, Logical Puzzles)
  • Inductive Reasoning (Pattern Recognition, Series Completion)
  • Analytical Reasoning (Seating Arrangement, Blood Relations)
  • Critical Reasoning (Assumptions, Strengthening/Weakening Arguments)

Identify the type before attempting to solve it.


2. Break Down the Information

  • Read the question carefully and extract key details.
  • For puzzles or seating arrangements, draw diagrams or tables.
  • Eliminate irrelevant information to focus on what matters.

3. Look for Patterns & Sequences

  • In number/letter series, check for arithmetic, geometric, or alternating patterns.
  • For visual reasoning (like mirror images or embedded figures), observe symmetry and transformations.

4. Use Elimination Method

  • In multiple-choice questions, eliminate obviously wrong options first.
  • Narrow down choices logically instead of guessing randomly.

5. Apply Logical Rules

  • For syllogisms, use Venn diagrams to visualize relationships.
  • In coding-decoding, identify consistent rules (e.g., letter shifts, symbol replacements).

6. Practice Common Question Types

  • Blood Relations: Memorize standard terms (e.g., maternal, paternal).
  • Direction Sense: Sketch movement paths step-by-step.
  • Seating Arrangement: Use symbols (○ for people, arrows for directions).

7. Avoid Assumptions

  • Stick strictly to the given information; don’t add external knowledge.
  • In “if-then” statements, confirm whether the converse is valid.

8. Manage Time Effectively

  • Skip time-consuming questions and return later.
  • Allocate more time to complex puzzles but don’t overthink.

9. Strengthen Critical Thinking

  • For argument-based questions, identify premises and conclusions.
  • Evaluate assumptions and possible flaws in reasoning.

10. Practice Regularly

  • Solve puzzles, riddles, and past exam papers.
  • Use apps/books (like LSAT, GMAT guides) for structured practice.

Bonus: Quick Checks for Common Errors

  • In Syllogisms: Ensure the conclusion follows from the premises.
  • In Series Completion: Verify if the pattern holds for all terms.
  • In Assumption Questions: The assumption must support the argument.

Current Trends Supporting Degree-Less Education:

  1. Rise of Alternative Credentials
    • Many learners are opting for certifications, bootcamps, nanodegrees, and micro-credentials (e.g., Google Certificates, Coursera, Udacity) over traditional degrees.
    • Companies like Google, Apple, IBM, and Tesla have dropped degree requirements for many roles.
  2. High Cost of Traditional Education
    • Student debt crises (especially in the U.S.) make degrees less appealing.
    • Many find self-learning (YouTube, free courses, open-source projects) more cost-effective.
  3. Employers Prioritizing Skills Over Degrees
    • Tech giants and startups increasingly hire based on portfolios, coding tests, and experience rather than formal education.
    • LinkedIn’s 2023 report shows a 21% increase in job postings not requiring degrees.
  4. Remote & Self-Paced Learning Growth
    • Platforms like Udemy, Khan Academy, and edX make learning flexible and affordable.
    • AI-driven personalized learning (e.g., ChatGPT tutors) reduces reliance on universities.
  5. Gig Economy & Entrepreneurship
    • Many young professionals prefer freelancing, startups, or digital nomadism, where skills matter more than diplomas.

Future Predictions:

  • Degrees May Become Optional for More Fields (e.g., tech, marketing, design).
  • Micro-credentials & Badges will gain more recognition.
  • AI & Automation could make some traditional education models obsolete.
  • Corporate Training & Apprenticeships may replace college for job-specific skills.

Exceptions Where Degrees Still Matter:

  • Highly regulated fields (medicine, law, academia).
  • Some corporate and government roles still value formal credentials.

Conclusion:

The trend toward skill-based, degree-less education is accelerating, especially in tech and creative industries. While traditional degrees won’t disappear entirely, their dominance is declining as employers and learners embrace faster, cheaper, and more flexible alternatives.

Future 50 Professional Courses: High-Demand Skills for 2025 & Beyond

The “Future 50” professional courses refer to high-demand skills and careers that are expected to grow significantly due to technological advancements, economic shifts, and evolving industry needs. These courses span fields like AI, cybersecurity, data science, renewable energy, biotech, and digital marketing, among others.

Here’s a categorized list of 50 future-proof professional courses that can boost employability and career growth:

1. Technology & AI

  1. Artificial Intelligence & Machine Learning
  2. Data Science & Big Data Analytics
  3. Cybersecurity & Ethical Hacking
  4. Cloud Computing (AWS, Azure, Google Cloud)
  5. Blockchain & Cryptocurrency
  6. Quantum Computing Fundamentals
  7. Robotics & Automation
  8. Internet of Things (IoT)
  9. 5G & Edge Computing
  10. Augmented Reality (AR) & Virtual Reality (VR)

2. Business & Digital Transformation

  1. Digital Marketing & SEO
  2. E-commerce & Dropshipping
  3. Business Analytics
  4. Project Management (PMP, Agile, Scrum)
  5. FinTech & Digital Banking
  6. Supply Chain & Logistics Management
  7. Entrepreneurship & Startups
  8. UX/UI Design
  9. Product Management
  10. Corporate Sustainability & ESG

3. Healthcare & Biotech

  1. Bioinformatics & Computational Biology
  2. Genetic Engineering & CRISPR
  3. Healthcare Data Analytics
  4. Telemedicine & Digital Health
  5. Pharmaceutical Biotechnology
  6. Neuroscience & Brain-Computer Interfaces
  7. Public Health & Epidemiology
  8. Medical AI & Diagnostics
  9. Personalized Medicine
  10. Aging & Longevity Science

4. Green Economy & Sustainability

  1. Renewable Energy Engineering (Solar, Wind, Hydrogen)
  2. Carbon Capture & Climate Tech
  3. Sustainable Agriculture & Food Tech
  4. Circular Economy & Waste Management
  5. Green Building & Architecture
  6. Environmental Data Science
  7. Water Resource Management
  8. Corporate Sustainability Strategy
  9. Climate Policy & Law
  10. Wildlife Conservation Tech

5. Creative & Emerging Fields

  1. Content Creation & YouTube Marketing
  2. Podcasting & Voice Technology
  3. NFTs & Digital Art
  4. Metaverse Development
  5. 3D Printing & Additive Manufacturing
  6. Drone Technology & Aerial Robotics
  7. Space Tech & Satellite Engineering
  8. Esports & Gaming Management
  9. Crisis Management & Resilience Planning
  10. Personal Branding & Influencer Marketing

Why These Courses?

High demand in emerging industries
Lucrative salaries (e.g., AI engineers, cybersecurity experts)
Remote work opportunities (digital roles)
Future-proof careers (automation-resistant skills)

Where to Learn?

  • Coursera, Udemy, edX (online certifications)
  • Google, Microsoft, IBM (professional courses)
  • MIT OpenCourseWare, Stanford Online (free resources)
  • LinkedIn Learning, Skillshare (soft skills & niche topics)

The Future of Doctors in the AI Era: How Artificial Intelligence is Transforming Healthcare

The era of Artificial Intelligence (AI) is transforming nearly every profession, and the medical field is no exception. The role of doctors in the future will evolve significantly due to advancements in AI, machine learning, robotics, and data analytics. Here’s how AI is likely to impact the profession of doctors in the coming decades:

1. AI as a Diagnostic and Decision-Making Assistant

  • AI-powered tools (like IBM Watson, Google DeepMind, and diagnostic AI) can analyze medical images (X-rays, MRIs, CT scans) faster and often with higher accuracy than humans.
  • AI can assist in early disease detection (e.g., cancer, neurological disorders) by identifying patterns in large datasets.
  • Doctors will rely on AI for evidence-based recommendations, but final decisions will still require human judgment.

2. Personalized Medicine & Treatment Plans

  • AI can analyze a patient’s genetic data, lifestyle, and medical history to suggest tailored treatments.
  • Drug discovery will be accelerated by AI, leading to more precise and effective medications.

3. Automation of Routine Tasks

  • Administrative tasks (scheduling, billing, documentation) will be handled by AI, reducing doctors’ workload.
  • Virtual health assistants (chatbots like ChatGPT for healthcare) can handle initial patient queries, allowing doctors to focus on complex cases.

4. Robotic Surgery & AI-Assisted Procedures

  • Robotic surgeons (e.g., Da Vinci Surgical System) enhance precision in operations.
  • AI can assist in real-time during surgeries by providing data insights and minimizing errors.

5. Telemedicine & Remote Patient Monitoring

  • AI-powered wearables and IoT devices will enable continuous health monitoring, alerting doctors to potential issues before they become critical.
  • Remote consultations will become more efficient with AI analyzing patient data in real-time.

6. Ethical & Legal Challenges

  • Who is responsible if AI makes a mistake? Doctors will need to oversee AI decisions.
  • Patient privacy concerns with AI handling sensitive health data.
  • Bias in AI algorithms (if trained on non-diverse datasets) could lead to unequal care.

7. Changing Role of Doctors: From Diagnosticians to Care Coordinators

  • Doctors may shift from diagnosing (which AI can do well) to patient communication, empathy, and complex decision-making.
  • Human skills (emotional intelligence, ethics, and patient trust) will become even more valuable.

Conclusion: AI Won’t Replace Doctors, But Will Transform Their Role

  • AI will augment, not replace, doctors—handling repetitive tasks while doctors focus on patient care.
  • Future doctors will need to be tech-savvy, adaptable, and skilled in interpreting AI outputs.
  • Medical education will evolve to include AI literacy, data science, and human-AI collaboration.

The future of medicine will be a collaboration between human expertise and AI efficiency, leading to better healthcare outcomes worldwide. 🚀

Free Lesson Planning Resources for Teachers – Best Websites & Tools (2024)

General Lesson Planning Resources

  1. Share My Lesson (www.sharemylesson.com) – Free K-12 lesson plans and activities.
  2. Teachers Pay Teachers (Free Section) (www.teacherspayteachers.com) – Many free lesson plans and templates.
  3. ReadWriteThink (www.readwritethink.org) – Free ELA lesson plans with printables.
  4. PBS LearningMedia (www.pbslearningmedia.org) – Standards-aligned videos and lesson ideas.
  5. Edutopia (www.edutopia.org) – Teaching strategies and lesson plan ideas.

Subject-Specific Lesson Plans

  1. Khan Academy (www.khanacademy.org) – Free math, science, and humanities lessons.
  2. National Geographic Education (www.nationalgeographic.org/education) – Geography and science lesson plans.
  3. Science Buddies (www.sciencebuddies.org) – Free STEM lesson plans.
  4. CommonLit (www.commonlit.org) – Free reading passages with lesson plans.
  5. Mathalicious (www.mathalicious.com) – Real-world math lessons (some free content).

Lesson Plan Templates & Tools

  1. Canva for Education (www.canva.com/education) – Free customizable lesson plan templates.
  2. Google Docs Lesson Plan Templates – Search for free templates in Google Docs.
  3. Planboard (www.planboardapp.com) – Free digital lesson planner.

Government & Nonprofit Educational Resources

  1. Smithsonian Learning Lab (learninglab.si.edu) – Free museum-based lesson plans.
  2. OER Commons (www.oercommons.org) – Open educational resources for all subjects.
  3. U.S. Department of Education (www.ed.gov) – Resources for teachers (varies by country).

Will AI Replace Teachers and Doctors? Bill Gates’ View Explained

Bill Gates has indeed suggested that AI could eventually reduce the demand for teachers and doctors by taking over certain aspects of their roles. However, his view is more nuanced than a simple “abolishment” of these jobs. Let’s break it down and analyze whether AI will truly replace teachers and doctors or simply transform their roles.

Will AI Replace Teachers?

AI can enhance education by:

  • Personalizing learning (adaptive learning platforms like Khan Academy or Duolingo).
  • Automating grading and administrative tasks.
  • Providing 24/7 tutoring (e.g., ChatGPT for homework help).

But teachers do much more than deliver information:

  • They inspire, mentor, and provide emotional support.
  • They adapt to students’ social and psychological needs.
  • They foster critical thinking, creativity, and collaboration—skills AI can’t replicate.

Verdict: AI won’t abolish teaching but will change how teachers work, shifting their focus to mentorship and human interaction.

Will AI Replace Doctors?

AI is already assisting in:

  • Diagnostics (AI detects cancers in scans better than humans in some cases).
  • Drug discovery (AI models like AlphaFold predict protein structures).
  • Robotic surgery (e.g., Da Vinci surgical systems).

But doctors do more than diagnose and treat:

  • They provide empathy, ethical judgment, and patient trust.
  • They handle complex, unpredictable cases where AI lacks context.
  • They make value-based decisions (e.g., end-of-life care).

Verdict: AI will augment doctors, not replace them. The human element in medicine is irreplaceable.

Bill Gates’ Perspective (Clarified)

Gates has said AI (like ChatGPT) could assist in education and healthcare, making these services more efficient and accessible. He did not claim teachers and doctors would become obsolete, but rather that AI could reduce their workload in certain areas.

Conclusion: AI as a Tool, Not a Replacement

  • Teachers & Doctors will evolve, not disappear.
  • AI will handle repetitive tasks, freeing professionals for higher-value work.
  • The human touch in teaching and healing cannot be automated.

So, no—AI won’t abolish these jobs, but it will redefine them. The future is collaboration, not replacement.

Future-Proof Careers: Emerging Degrees in Artificial Intelligence

AI is rapidly changing the job market, leading to new and emerging degrees that will be highly relevant in the future. Here are some degrees that are expected to gain popularity due to AI advancements:

1. AI & Machine Learning (ML) Engineering

  • Focus: Deep learning, neural networks, AI ethics, and ML model deployment.
  • Careers: AI engineer, ML scientist, data scientist.

2. AI-Powered Cybersecurity

  • Focus: AI-driven threat detection, automated security systems, ethical hacking.
  • Careers: AI cybersecurity analyst, penetration tester, security architect.

3. AI & Robotics Engineering

  • Focus: Human-robot interaction, autonomous systems, AI-driven automation.
  • Careers: Robotics engineer, automation specialist, drone developer.

4. AI & Data Science

  • Focus: Predictive analytics, big data processing, AI-driven insights.
  • Careers: Data scientist, AI-driven business analyst, data engineer.

5. AI in Healthcare & Biomedical Sciences

  • Focus: AI-powered diagnostics, medical robotics, bioinformatics.
  • Careers: AI healthcare specialist, biomedical AI researcher.

6. AI & Ethics / Responsible AI

  • Focus: AI fairness, bias mitigation, AI policy and regulation.
  • Careers: AI ethicist, AI compliance officer, policy advisor.

7. AI & Creativity (AI in Art, Music, and Content Generation)

  • Focus: AI-generated media, deepfake detection, AI-assisted design.
  • Careers: AI artist, creative technologist, AI-generated content strategist.

8. AI & Law (AI in Legal Studies)

  • Focus: AI in intellectual property, AI-driven legal analytics.
  • Careers: AI legal consultant, tech policy expert.

9. AI & Business Management

  • Focus: AI-driven business strategies, AI in finance, AI-powered marketing.
  • Careers: AI business strategist, AI-driven financial analyst.

10. AI & Education (EdTech and Adaptive Learning)

  • Focus: AI-driven personalized learning, smart classrooms, AI tutors.
  • Careers: AI education specialist, EdTech developer.

Top 20 Must-Have Products for Students in 2023 | Boost Productivity & Save Money

Here are some useful products for students that you can consider posting on your website. These items cater to their academic, organizational, and lifestyle needs:


1. Study and Productivity Tools

  • Planners and Journals: Daily, weekly, or monthly planners to help students stay organized.
  • Smart Notebooks: Reusable notebooks like Rocketbook for eco-friendly note-taking.
  • Highlighters and Pens: Color-coded highlighters, gel pens, or erasable pens.
  • Sticky Notes and Index Cards: For quick reminders and study aids.
  • Whiteboard and Markers: Mini whiteboards for brainstorming or practice.

2. Tech Gadgets

  • Laptops and Tablets: Affordable or refurbished options for students on a budget.
  • Noise-Canceling Headphones: For focused study sessions.
  • Portable Chargers: Compact power banks for on-the-go charging.
  • USB Flash Drives: For storing assignments and projects.
  • Blue Light Blocking Glasses: To reduce eye strain from screens.

3. Desk Accessories

  • Desk Organizers: To keep study spaces tidy.
  • LED Desk Lamps: Adjustable and energy-efficient lighting.
  • Laptop Stands: Ergonomic stands for better posture.
  • Cable Management Clips: To keep cords organized.

4. Study Aids

  • Educational Apps Subscriptions: Discounts or partnerships with apps like Grammarly, Quizlet, or Duolingo.
  • E-Readers: Kindle or other e-readers for digital textbooks.
  • Scientific Calculators: For math and science students.
  • Backpacks with USB Charging Ports: Stylish and functional bags.

5. Health and Wellness

  • Reusable Water Bottles: Eco-friendly and motivational bottles.
  • Healthy Snacks: Nuts, granola bars, or energy bites.
  • Stress Relief Items: Fidget toys, stress balls, or aromatherapy diffusers.
  • Yoga Mats or Resistance Bands: For quick workouts between study sessions.

6. Dorm and Lifestyle Essentials

  • Mini Fridges: Compact fridges for dorm rooms.
  • Bedside Organizers: For keeping essentials within reach.
  • Comfortable Bedding: Memory foam pillows or cozy blankets.
  • Portable Blenders: For making smoothies or quick meals.

7. Budget-Friendly Options

  • Second-Hand Textbooks: Affordable alternatives to new books.
  • Discount Software: Microsoft Office, Adobe Creative Cloud, or other student software.
  • Subscription Boxes: Curated boxes with snacks, stationery, or self-care items.

8. Eco-Friendly Products

  • Reusable Notebooks: Like Rocketbook or similar brands.
  • Bamboo Stationery: Pens, pencils, and rulers made from sustainable materials.
  • Solar-Powered Chargers: For eco-conscious students.

9. Fun and Motivational Items

  • Motivational Posters or Wall Art: Inspirational quotes for study spaces.
  • Customized Mugs or Water Bottles: Personalized with names or quotes.
  • Board Games or Card Games: For stress relief and socializing.

10. Online Courses and Resources

  • Skill-Building Courses: Coding, graphic design, or language courses.
  • E-Books or Study Guides: Affordable digital resources for exam prep.

Top 10 Most Valuable Degrees and Skills for the Future

The Most Valuable Degrees and Skills for the Future

The future of work is evolving rapidly, driven by technological advancements, globalization, and shifting economic priorities. To stay competitive, individuals must equip themselves with the right degrees and skills. Below, we’ve compiled a list of the 10 most valuable degrees and 10 most valuable skills for the future, along with resources to help you get started.


Top 10 Most Valuable Degrees for the Future

  1. Computer Science
  1. Data Science and Analytics
  1. Artificial Intelligence and Machine Learning
  1. Engineering (Electrical, Mechanical, Robotics)
  1. Healthcare and Biotechnology
  1. Environmental Science and Sustainability
  1. Business Administration and Management
  1. Cybersecurity
  1. Psychology and Behavioral Science
  1. Finance and Economics

Top 10 Most Valuable Skills for the Future

  1. Digital Literacy
  • The ability to use technology effectively and adapt to new tools.
  1. Critical Thinking and Problem-Solving
  • Analyzing complex situations and developing innovative solutions.
  1. Emotional Intelligence (EQ)
  • Building strong relationships and managing emotions in professional settings.
  1. Adaptability and Resilience
  • Thriving in a fast-changing world and bouncing back from setbacks.
  1. Data Analysis and Interpretation
  • Turning raw data into actionable insights.
  1. Creativity and Innovation
  • Thinking outside the box to create new products, services, and processes.
  1. Communication Skills
  • Clear and effective communication across diverse platforms and audiences.
  1. Leadership and Team Management
  • Inspiring and guiding teams to achieve common goals.
  1. AI and Machine Learning Basics
  • Understanding how AI works and its applications in various fields.
  1. Coding and Programming
    • Writing code to develop software, apps, and automated systems.

How to Get Started

Whether you’re pursuing a degree or honing your skills, the resources above provide a solid foundation. Many platforms like Coursera, edX, and Khan Academy offer affordable or free courses to help you stay ahead in your career.

Investing in the right education and skills today will ensure you’re prepared for the opportunities of tomorrow.


What do you think? Are there any degrees or skills you’d add to this list? Share your thoughts in the comments below!


Note: The links provided are for informational purposes and may require enrollment or payment for full access.

Top 10 Universities for IT Degrees in 2024 | Rankings, Courses, Scholarships


1. Massachusetts Institute of Technology (MIT) – USA

  • Description: MIT is a global leader in technology and innovation. Its IT programs emphasize computer science, artificial intelligence, and data science.
  • Courses:
    • Bachelor of Science in Computer Science and Engineering
    • Master of Science in Electrical Engineering and Computer Science
    • PhD in Computer Science
  • Scholarships: MIT offers need-based financial aid, including scholarships like the MIT Scholarship.
  • Link: MIT Computer Science

2. Stanford University – USA

  • Description: Stanford is known for its strong focus on IT, entrepreneurship, and Silicon Valley connections.
  • Courses:
    • Bachelor of Science in Computer Science
    • Master of Science in Computer Science
    • PhD in Computer Science
  • Scholarships: Stanford offers need-based aid and merit-based scholarships like the Knight-Hennessy Scholars Program.
  • Link: Stanford Computer Science

3. Carnegie Mellon University (CMU) – USA

  • Description: CMU is renowned for its School of Computer Science and cutting-edge IT research.
  • Courses:
    • Bachelor of Science in Computer Science
    • Master of Science in Information Technology
    • PhD in Computer Science
  • Scholarships: CMU offers merit-based scholarships and financial aid.
  • Link: CMU School of Computer Science

4. University of Cambridge – UK

  • Description: Cambridge offers world-class IT programs with a focus on theoretical and applied computer science.
  • Courses:
    • Bachelor of Arts in Computer Science
    • Master of Philosophy in Advanced Computer Science
    • PhD in Computer Science
  • Scholarships: Cambridge Trust Scholarships and Gates Cambridge Scholarships.
  • Link: Cambridge Computer Science

5. University of Oxford – UK

  • Description: Oxford combines IT with interdisciplinary research in AI, machine learning, and cybersecurity.
  • Courses:
    • Bachelor of Science in Computer Science
    • Master of Science in Computer Science
    • PhD in Computer Science
  • Scholarships: Clarendon Fund Scholarships and Oxford-Weidenfeld and Hoffmann Scholarships.
  • Link: Oxford Computer Science

6. ETH Zurich – Switzerland

  • Description: ETH Zurich is a leading European university for IT and engineering.
  • Courses:
    • Bachelor of Science in Computer Science
    • Master of Science in Computer Science
    • PhD in Computer Science
  • Scholarships: Excellence Scholarship & Opportunity Programme (ESOP).
  • Link: ETH Zurich Computer Science

7. National University of Singapore (NUS) – Singapore

  • Description: NUS is Asia’s top university for IT, offering programs in AI, cybersecurity, and software engineering.
  • Courses:
    • Bachelor of Computing in Computer Science
    • Master of Computing
    • PhD in Computer Science
  • Scholarships: NUS Scholarships and ASEAN Undergraduate Scholarship.
  • Link: NUS School of Computing

8. University of California, Berkeley (UC Berkeley) – USA

  • Description: UC Berkeley is known for its strong IT programs and research in AI, data science, and cybersecurity.
  • Courses:
    • Bachelor of Arts in Computer Science
    • Master of Science in Computer Science
    • PhD in Computer Science
  • Scholarships: Berkeley Undergraduate Scholarships and Graduate Fellowships.
  • Link: UC Berkeley Computer Science

9. Tsinghua University – China

  • Description: Tsinghua is a top Asian university for IT, with a focus on AI, big data, and software engineering.
  • Courses:
    • Bachelor of Engineering in Computer Science
    • Master of Engineering in Computer Science
    • PhD in Computer Science
  • Scholarships: Chinese Government Scholarship and Tsinghua University Scholarships.
  • Link: Tsinghua Computer Science

10. University of Toronto – Canada

  • Description: U of T is Canada’s leading university for IT, offering programs in AI, machine learning, and software development.
  • Courses:
    • Bachelor of Science in Computer Science
    • Master of Science in Computer Science
    • PhD in Computer Science
  • Scholarships: Lester B. Pearson International Scholarship and University of Toronto Scholarships.
  • Link: U of T Computer Science

Summary Table

UniversityLocationNotable CoursesScholarshipsLink
MITUSABS, MS, PhD in Computer ScienceMIT ScholarshipMIT
StanfordUSABS, MS, PhD in Computer ScienceKnight-Hennessy ScholarsStanford
Carnegie MellonUSABS, MS in IT, PhD in Computer ScienceMerit-based ScholarshipsCMU
University of CambridgeUKBA, MPhil, PhD in Computer ScienceGates Cambridge ScholarshipCambridge
University of OxfordUKBS, MS, PhD in Computer ScienceClarendon Fund ScholarshipOxford
ETH ZurichSwitzerlandBS, MS, PhD in Computer ScienceESOP ScholarshipETH Zurich
National University of SingaporeSingaporeBS, MS, PhD in ComputingNUS ScholarshipsNUS
UC BerkeleyUSABA, MS, PhD in Computer ScienceBerkeley ScholarshipsUC Berkeley
Tsinghua UniversityChinaBE, ME, PhD in Computer ScienceChinese Government ScholarshipTsinghua
University of TorontoCanadaBS, MS, PhD in Computer ScienceLester B. Pearson ScholarshipU of T