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Master of Data Analytics Program (2026)
- Thread starter lilman
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May I know why this is a dream machan ? Is it because state unis have better Master's programmes ?Another dream
MSc in CS in a state university
Any idea about MBAs ?
Colombo, Moratuwa MSc tharam amaruida danne ne
syllabus: https://science.kln.ac.lk/depts/im/index.php/academic/postgraduate/master-of-da
12 months
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government campus වල තියෙන masters degree වල මොකක් හරි අවුලක් තියෙන කතාවක් ඇහිලා තියෙනවා , ඒ කියන්නේ masters එකකට credit 180ක් තියෙන්න ඕන ලු but government campus වල තියෙන masters degree බහුතරයක credit 180ක් නෑ ලු , ඒ නිසා සමහර අවස්ථාවල ප්රශ්න එනවා කියනවා
මට ඇහුන කතාවක් ඔය , තව පොඩ්ඩක් හොයලා බලන්න , මේ ගැන දන්නා කෙනෙක් ඉන්නවා නම් වැඩි විස්තර මෙතන දාවි
AI aapu nisa data analytics walata effect ekak tyenwa kiyala mn dekka
will AI affect big data analytics jobs -
Yes, AI is significantly affecting big data analytics jobs
, not by eliminating them, but by transforming them: automating mundane tasks (data cleaning, basic reporting) to free up analysts for higher-value work, demanding new skills (AI interpretation, ethics, critical thinking), and creating new roles, ultimately shifting focus from routine analysis to strategic insight, human judgment, and AI partnership. Professionals who embrace AI as a powerful tool for augmenting capabilities, rather than a replacement, will thrive, while those clinging to old methods risk being left behind.
How AI is Changing the Landscape:
AI isn't replacing data analysts; it's redefining the role, making it more strategic, impactful, and demanding. The future belongs to data professionals who can seamlessly integrate AI into their workflows, leveraging it to amplify their human skills in judgment, creativity, and business acumen.
will AI affect big data analytics jobs -
Yes, AI is significantly affecting big data analytics jobs
, not by eliminating them, but by transforming them: automating mundane tasks (data cleaning, basic reporting) to free up analysts for higher-value work, demanding new skills (AI interpretation, ethics, critical thinking), and creating new roles, ultimately shifting focus from routine analysis to strategic insight, human judgment, and AI partnership. Professionals who embrace AI as a powerful tool for augmenting capabilities, rather than a replacement, will thrive, while those clinging to old methods risk being left behind.
How AI is Changing the Landscape:
- Automation of Routine Tasks: AI excels at repetitive, low-level tasks like data prep, cleaning, and generating simple reports, making analysts more efficient.
- Shift to Strategic Roles: With automation handling the mundane, analysts can focus on complex problem-solving, interpreting AI-generated insights, ensuring data quality, and making strategic business decisions.
- Creation of New Roles: AI creates new opportunities in areas like AI ethics, data annotation, and AI-driven entrepreneurship.
- Enhanced Capabilities: AI acts as a powerful assistant, spotting patterns humans might miss and scaling analysis, allowing analysts to achieve more.
- AI Literacy & Prompting: Understanding how to use and guide AI tools effectively.
- Critical Thinking & Judgment: Asking the right questions, validating AI outputs, and ensuring ethical use.
- Domain Expertise: Deep business knowledge to contextualize data and AI insights.
- Data Storytelling & Visualization: Using AI to create clearer, more impactful data narratives.
- Programming & Technical Skills: Continued proficiency in Python, SQL, and cloud platforms.
AI isn't replacing data analysts; it's redefining the role, making it more strategic, impactful, and demanding. The future belongs to data professionals who can seamlessly integrate AI into their workflows, leveraging it to amplify their human skills in judgment, creativity, and business acumen.
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