@extends('layouts.app3')
@section('title', 'BSc in AI & ML / Data Science | Rai University')
@section('content')
@php
$group = [
  'name_html' => 'BSc in <span>AI, ML &amp; Data Science</span>',
  'short' => 'BSc Programs',
  'school' => 'Rai School of Sciences',
  'tagline' => 'Science-first bachelor degrees grounded in mathematics, statistics and computation — built to make you fluent in building, training and deploying intelligent, data-driven systems.',
];

$programs = [
  [
    'name' => 'BSc in Artificial Intelligence & Machine Learning',
    'name_html' => 'BSc in <span>AI &amp; Machine Learning</span>',
    'short' => 'BSc (AI & ML)',
    'years' => '3', 'semesters_count' => '6', 'credits' => '139', 'level' => 'Undergraduate', 'level_short' => 'UG',
    'curriculum_pending' => true, // hidden until official curriculum is shared
    'overview' => 'The BSc in Artificial Intelligence & Machine Learning blends rigorous mathematical and statistical foundations with applied computing. Students master the theory behind learning algorithms and gain hands-on experience building AI systems — from machine learning and deep learning to computer vision and natural language processing — preparing them for research and high-impact industry roles.',
    'objectives' => [
      'Build strong foundations in mathematics, statistics and programming',
      'Develop deep expertise in machine learning and AI algorithms',
      'Enable students to design, train and evaluate intelligent models',
      'Foster scientific reasoning and analytical problem-solving',
      'Prepare students for research, higher education and industry',
    ],
    'outcomes' => [
      'Apply mathematical and statistical methods to AI problems',
      'Design and implement machine learning and deep learning models',
      'Analyze data and evaluate model performance rigorously',
      'Build AI-driven solutions for real-world challenges',
      'Demonstrate scientific, ethical and professional responsibility',
    ],
    'credit_summary' => [
      ['Year 1','Semester I','25'],['Year 1','Semester II','25'],['Year 2','Semester III','24'],
      ['Year 2','Semester IV','25'],['Year 3','Semester V','24'],['Year 3','Semester VI','16'],
    ],
    'semesters' => [
      ['year'=>'Year 1','rom'=>'I','label'=>'Semester I','total'=>'25','subjects'=>[
        ['Programming Fundamentals with Python','4','2','6'],['Mathematics for AI (Calculus & Linear Algebra)','4','2','6'],['Fundamentals of Computer Science','3','0','3'],['Statistics for Data Analysis','3','0','3'],['Digital Electronics','2','1','3'],['English & Communication','2','0','2'],['Environmental Studies','2','0','2'],
      ]],
      ['year'=>'Year 1','rom'=>'II','label'=>'Semester II','total'=>'25','subjects'=>[
        ['Object-Oriented Programming','4','2','6'],['Data Structures and Algorithms','4','2','6'],['Probability & Statistical Inference','3','0','3'],['Database Management Systems','3','0','3'],['Discrete Mathematics','3','0','3'],['Critical Thinking & Ethics','2','0','2'],['Presentation Skills','1','1','2'],
      ]],
      ['year'=>'Year 2','rom'=>'III','label'=>'Semester III','total'=>'24','subjects'=>[
        ['Introduction to Artificial Intelligence','4','2','6'],['Data Wrangling & Visualization','4','2','6'],['Linear Algebra for Machine Learning','3','0','3'],['Operating Systems','3','0','3'],['Optimization Techniques','2','0','2'],['Research Methodology','2','0','2'],['Design Thinking','2','0','2'],
      ]],
      ['year'=>'Year 2','rom'=>'IV','label'=>'Semester IV','total'=>'25','subjects'=>[
        ['Machine Learning','4','2','6'],['Deep Learning','4','2','6'],['Natural Language Processing','3','0','3'],['Data Science with Python','3','1','4'],['Cloud Computing','2','1','3'],['Generative AI & LLMs','3','0','3'],
      ]],
      ['year'=>'Year 3','rom'=>'V','label'=>'Semester V','total'=>'24','subjects'=>[
        ['Computer Vision','4','2','6'],['Reinforcement Learning','4','2','6'],['Big Data Analytics','3','0','3'],['Elective - I','3','0','3'],['Elective - II','2','1','3'],['Entrepreneurship & Innovation','2','1','3'],
      ]],
      ['year'=>'Year 3','rom'=>'VI','label'=>'Semester VI','total'=>'16','note'=>'Capstone','subjects'=>[
        ['Major Project / Internship','0','16','16'],
      ]],
    ],
    'electives' => [
      'Technical Electives' => [['MLOps & Model Deployment','3'],['AI in Robotics','3'],['Time Series Forecasting','3'],['Edge AI & IoT','3'],['Explainable AI','3']],
      'Industry-Oriented Electives' => [['AI Product Management','3'],['Cybersecurity for AI','3'],['Cloud AI Services (AWS/Azure)','3'],['AI Ethics & Governance','3']],
    ],
    'industry' => ['Capstone project with industry mentorship in the final semester','Hackathons, Kaggle competitions and workshops by AI practitioners','Internships in AI/ML and analytics roles'],
    'assessment' => [['Internal Assessment','40%'],['End-of-Semester Examination','60%']],
    'exit' => [['After Year 1','Certificate in AI & ML'],['After Year 2','Diploma in AI & ML'],['After Year 3','BSc in Artificial Intelligence & Machine Learning']],
    'careers' => ['Machine Learning Engineer','AI Research Associate','Data Scientist','NLP Engineer','Computer Vision Engineer','MLOps Engineer'],
  ],
  [
    'name' => 'BSc in Data Science',
    'name_html' => 'BSc in <span>Data Science</span>',
    'short' => 'BSc (Data Science)',
    'years' => '3', 'semesters_count' => '6', 'credits' => '139', 'level' => 'Undergraduate', 'level_short' => 'UG',
    'curriculum_pending' => true, // hidden until official curriculum is shared
    'overview' => 'The BSc in Data Science combines strong statistical and mathematical foundations with modern computing and machine learning. Students learn to collect, clean, model and visualize data at scale, mastering the full analytics pipeline and the tools that power data-driven organisations and research.',
    'objectives' => [
      'Build strong foundations in statistics, mathematics and programming',
      'Develop expertise in data analytics, modelling and machine learning',
      'Enable students to work with large-scale, real-world datasets',
      'Foster analytical, statistical and computational problem-solving',
      'Prepare students for industry roles and higher education',
    ],
    'outcomes' => [
      'Apply statistical and computational techniques to data problems',
      'Analyze and interpret complex, large-scale datasets',
      'Build predictive, statistical and machine learning models',
      'Communicate insights through effective data visualization',
      'Demonstrate ethical and professional responsibility',
    ],
    'credit_summary' => [
      ['Year 1','Semester I','25'],['Year 1','Semester II','25'],['Year 2','Semester III','24'],
      ['Year 2','Semester IV','25'],['Year 3','Semester V','24'],['Year 3','Semester VI','16'],
    ],
    'semesters' => [
      ['year'=>'Year 1','rom'=>'I','label'=>'Semester I','total'=>'25','subjects'=>[
        ['Programming Fundamentals with Python','4','2','6'],['Mathematics for Data Science (Calculus & Linear Algebra)','4','2','6'],['Fundamentals of Computer Science','3','0','3'],['Descriptive Statistics','3','0','3'],['Digital Electronics','2','1','3'],['English & Communication','2','0','2'],['Environmental Studies','2','0','2'],
      ]],
      ['year'=>'Year 1','rom'=>'II','label'=>'Semester II','total'=>'25','subjects'=>[
        ['Object-Oriented Programming','4','2','6'],['Data Structures and Algorithms','4','2','6'],['Probability & Statistical Inference','3','0','3'],['Database Management Systems','3','0','3'],['Discrete Mathematics','3','0','3'],['Critical Thinking & Ethics','2','0','2'],['Presentation Skills','1','1','2'],
      ]],
      ['year'=>'Year 2','rom'=>'III','label'=>'Semester III','total'=>'24','subjects'=>[
        ['Introduction to Data Science','4','2','6'],['Data Wrangling & Visualization','4','2','6'],['Regression & Statistical Modelling','3','0','3'],['Operating Systems','3','0','3'],['Optimization Techniques','2','0','2'],['Research Methodology','2','0','2'],['Design Thinking','2','0','2'],
      ]],
      ['year'=>'Year 2','rom'=>'IV','label'=>'Semester IV','total'=>'25','subjects'=>[
        ['Machine Learning','4','2','6'],['Data Mining & Warehousing','4','2','6'],['Data Visualization & Business Analytics','3','0','3'],['Database Systems & SQL','3','1','4'],['Cloud Computing','2','1','3'],['Generative AI & LLMs','3','0','3'],
      ]],
      ['year'=>'Year 3','rom'=>'V','label'=>'Semester V','total'=>'24','subjects'=>[
        ['Big Data Analytics (Hadoop/Spark)','4','2','6'],['Deep Learning','4','2','6'],['Time Series Analysis & Forecasting','3','0','3'],['Elective - I','3','0','3'],['Elective - II','2','1','3'],['Entrepreneurship & Innovation','2','1','3'],
      ]],
      ['year'=>'Year 3','rom'=>'VI','label'=>'Semester VI','total'=>'16','note'=>'Capstone','subjects'=>[
        ['Major Project / Internship','0','16','16'],
      ]],
    ],
    'electives' => [
      'Technical Electives' => [['Natural Language Processing','3'],['Computer Vision','3'],['MLOps & Data Engineering','3'],['Blockchain & Data Security','3'],['Geospatial Analytics','3']],
      'Industry-Oriented Electives' => [['Business Intelligence with Power BI/Tableau','3'],['AI for FinTech','3'],['Cloud Data Platforms','3'],['Data Governance & Ethics','3']],
    ],
    'industry' => ['Industry capstone with real datasets in the final semester','Workshops and guest lectures from data science professionals','Internships in analytics, BI and data engineering roles'],
    'assessment' => [['Internal Assessment','40%'],['End-of-Semester Examination','60%']],
    'exit' => [['After Year 1','Certificate in Data Science'],['After Year 2','Diploma in Data Science'],['After Year 3','BSc in Data Science']],
    'careers' => ['Data Scientist','Data Analyst','Business Intelligence Analyst','Data Engineer','Machine Learning Engineer','Analytics Consultant'],
  ],
];
@endphp
@include('partials.program-group')
@endsection